Training in progress, epoch 50, checkpoint
Browse files- checkpoint-26450/README.md +9 -0
- checkpoint-26450/adapter_config.json +25 -0
- checkpoint-26450/adapter_model.bin +3 -0
- checkpoint-26450/added_tokens.json +5 -0
- checkpoint-26450/optimizer.pt +3 -0
- checkpoint-26450/rng_state_0.pth +3 -0
- checkpoint-26450/rng_state_1.pth +3 -0
- checkpoint-26450/rng_state_2.pth +3 -0
- checkpoint-26450/rng_state_3.pth +3 -0
- checkpoint-26450/scheduler.pt +3 -0
- checkpoint-26450/special_tokens_map.json +6 -0
- checkpoint-26450/tokenizer.json +0 -0
- checkpoint-26450/tokenizer.model +3 -0
- checkpoint-26450/tokenizer_config.json +40 -0
- checkpoint-26450/trainer_state.json +2353 -0
- checkpoint-26450/training_args.bin +3 -0
checkpoint-26450/README.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
### Framework versions
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
- PEFT 0.5.0
|
checkpoint-26450/adapter_config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 16,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"k_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"gate_proj",
|
| 22 |
+
"up_proj"
|
| 23 |
+
],
|
| 24 |
+
"task_type": "CAUSAL_LM"
|
| 25 |
+
}
|
checkpoint-26450/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06ec59ce15742e47bcbb4dad65d33926b9052c70a54505b95ecb36b433ecc3ad
|
| 3 |
+
size 143269386
|
checkpoint-26450/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</s>": 2,
|
| 3 |
+
"<s>": 1,
|
| 4 |
+
"<unk>": 0
|
| 5 |
+
}
|
checkpoint-26450/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1800889faa86375d7d67165e076ed42c06207df9822355a9b4cc089597a65aeb
|
| 3 |
+
size 286585234
|
checkpoint-26450/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e989fc9e7f1f1efef67aa7dd82befef43d8c82fff1f9aba4b514256d6c6cd38
|
| 3 |
+
size 15024
|
checkpoint-26450/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d664f46c7a2a34911d48ee5137080d91b02317ed1c9d5e2d4ccece1d9c81ffcc
|
| 3 |
+
size 15024
|
checkpoint-26450/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce9bbeb224fdf42fc92b388fd5bf48d9db4983e17b65c0a32e207ce11e04f7d9
|
| 3 |
+
size 15024
|
checkpoint-26450/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c77f70c75dbab5b29485228305fb4cacce53108ad262b215d9e09b5736f0455c
|
| 3 |
+
size 15024
|
checkpoint-26450/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7ffc94d7191d49bb41e44aa2f4fea6f08d76a67f0f4434f6285ef1d381c547d
|
| 3 |
+
size 1064
|
checkpoint-26450/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "</s>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
checkpoint-26450/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-26450/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
checkpoint-26450/tokenizer_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"additional_special_tokens": [],
|
| 29 |
+
"bos_token": "<s>",
|
| 30 |
+
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"legacy": false,
|
| 33 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 34 |
+
"pad_token": "</s>",
|
| 35 |
+
"padding_side": "left",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 38 |
+
"unk_token": "<unk>",
|
| 39 |
+
"use_default_system_prompt": true
|
| 40 |
+
}
|
checkpoint-26450/trainer_state.json
ADDED
|
@@ -0,0 +1,2353 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 50.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 26450,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.19,
|
| 13 |
+
"learning_rate": 5e-05,
|
| 14 |
+
"loss": 1.6355,
|
| 15 |
+
"step": 100
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.38,
|
| 19 |
+
"learning_rate": 5e-05,
|
| 20 |
+
"loss": 1.4037,
|
| 21 |
+
"step": 200
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.57,
|
| 25 |
+
"learning_rate": 5e-05,
|
| 26 |
+
"loss": 1.4183,
|
| 27 |
+
"step": 300
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.76,
|
| 31 |
+
"learning_rate": 5e-05,
|
| 32 |
+
"loss": 1.3881,
|
| 33 |
+
"step": 400
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.95,
|
| 37 |
+
"learning_rate": 5e-05,
|
| 38 |
+
"loss": 1.3891,
|
| 39 |
+
"step": 500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 1.0,
|
| 43 |
+
"eval_accuracy": 0.6137948717948718,
|
| 44 |
+
"eval_loss": 1.3015451431274414,
|
| 45 |
+
"eval_runtime": 4.1821,
|
| 46 |
+
"eval_samples_per_second": 119.557,
|
| 47 |
+
"eval_steps_per_second": 15.064,
|
| 48 |
+
"step": 529
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.0,
|
| 52 |
+
"eval_exact_match": 23.2,
|
| 53 |
+
"eval_f1": 35.17014759120022,
|
| 54 |
+
"step": 529
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 1.13,
|
| 58 |
+
"learning_rate": 5e-05,
|
| 59 |
+
"loss": 1.3808,
|
| 60 |
+
"step": 600
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.32,
|
| 64 |
+
"learning_rate": 5e-05,
|
| 65 |
+
"loss": 1.348,
|
| 66 |
+
"step": 700
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 1.51,
|
| 70 |
+
"learning_rate": 5e-05,
|
| 71 |
+
"loss": 1.3627,
|
| 72 |
+
"step": 800
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 1.7,
|
| 76 |
+
"learning_rate": 5e-05,
|
| 77 |
+
"loss": 1.3473,
|
| 78 |
+
"step": 900
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 1.89,
|
| 82 |
+
"learning_rate": 5e-05,
|
| 83 |
+
"loss": 1.3633,
|
| 84 |
+
"step": 1000
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 2.0,
|
| 88 |
+
"eval_accuracy": 0.6165641025641025,
|
| 89 |
+
"eval_loss": 1.2854759693145752,
|
| 90 |
+
"eval_runtime": 4.1064,
|
| 91 |
+
"eval_samples_per_second": 121.761,
|
| 92 |
+
"eval_steps_per_second": 15.342,
|
| 93 |
+
"step": 1058
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 2.0,
|
| 97 |
+
"eval_exact_match": 25.8,
|
| 98 |
+
"eval_f1": 37.509047619047635,
|
| 99 |
+
"step": 1058
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 2.08,
|
| 103 |
+
"learning_rate": 5e-05,
|
| 104 |
+
"loss": 1.3358,
|
| 105 |
+
"step": 1100
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 2.27,
|
| 109 |
+
"learning_rate": 5e-05,
|
| 110 |
+
"loss": 1.2917,
|
| 111 |
+
"step": 1200
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 2.46,
|
| 115 |
+
"learning_rate": 5e-05,
|
| 116 |
+
"loss": 1.2948,
|
| 117 |
+
"step": 1300
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 2.65,
|
| 121 |
+
"learning_rate": 5e-05,
|
| 122 |
+
"loss": 1.3144,
|
| 123 |
+
"step": 1400
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 2.84,
|
| 127 |
+
"learning_rate": 5e-05,
|
| 128 |
+
"loss": 1.2929,
|
| 129 |
+
"step": 1500
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 3.0,
|
| 133 |
+
"eval_accuracy": 0.6176923076923077,
|
| 134 |
+
"eval_loss": 1.2953603267669678,
|
| 135 |
+
"eval_runtime": 4.0992,
|
| 136 |
+
"eval_samples_per_second": 121.974,
|
| 137 |
+
"eval_steps_per_second": 15.369,
|
| 138 |
+
"step": 1587
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 3.0,
|
| 142 |
+
"eval_exact_match": 25.0,
|
| 143 |
+
"eval_f1": 37.08253968253969,
|
| 144 |
+
"step": 1587
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 3.02,
|
| 148 |
+
"learning_rate": 5e-05,
|
| 149 |
+
"loss": 1.2906,
|
| 150 |
+
"step": 1600
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 3.21,
|
| 154 |
+
"learning_rate": 5e-05,
|
| 155 |
+
"loss": 1.2216,
|
| 156 |
+
"step": 1700
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 3.4,
|
| 160 |
+
"learning_rate": 5e-05,
|
| 161 |
+
"loss": 1.2459,
|
| 162 |
+
"step": 1800
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 3.59,
|
| 166 |
+
"learning_rate": 5e-05,
|
| 167 |
+
"loss": 1.2474,
|
| 168 |
+
"step": 1900
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 3.78,
|
| 172 |
+
"learning_rate": 5e-05,
|
| 173 |
+
"loss": 1.2518,
|
| 174 |
+
"step": 2000
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.97,
|
| 178 |
+
"learning_rate": 5e-05,
|
| 179 |
+
"loss": 1.2361,
|
| 180 |
+
"step": 2100
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 4.0,
|
| 184 |
+
"eval_accuracy": 0.6045128205128205,
|
| 185 |
+
"eval_loss": 1.3488503694534302,
|
| 186 |
+
"eval_runtime": 4.2015,
|
| 187 |
+
"eval_samples_per_second": 119.004,
|
| 188 |
+
"eval_steps_per_second": 14.995,
|
| 189 |
+
"step": 2116
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 4.0,
|
| 193 |
+
"eval_exact_match": 25.0,
|
| 194 |
+
"eval_f1": 36.82126984126986,
|
| 195 |
+
"step": 2116
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 4.16,
|
| 199 |
+
"learning_rate": 5e-05,
|
| 200 |
+
"loss": 1.1856,
|
| 201 |
+
"step": 2200
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 4.35,
|
| 205 |
+
"learning_rate": 5e-05,
|
| 206 |
+
"loss": 1.1556,
|
| 207 |
+
"step": 2300
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 4.54,
|
| 211 |
+
"learning_rate": 5e-05,
|
| 212 |
+
"loss": 1.1828,
|
| 213 |
+
"step": 2400
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 4.73,
|
| 217 |
+
"learning_rate": 5e-05,
|
| 218 |
+
"loss": 1.1687,
|
| 219 |
+
"step": 2500
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 4.91,
|
| 223 |
+
"learning_rate": 5e-05,
|
| 224 |
+
"loss": 1.1856,
|
| 225 |
+
"step": 2600
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 5.0,
|
| 229 |
+
"eval_accuracy": 0.6125128205128205,
|
| 230 |
+
"eval_loss": 1.3968186378479004,
|
| 231 |
+
"eval_runtime": 4.3081,
|
| 232 |
+
"eval_samples_per_second": 116.06,
|
| 233 |
+
"eval_steps_per_second": 14.624,
|
| 234 |
+
"step": 2645
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 5.0,
|
| 238 |
+
"eval_exact_match": 24.6,
|
| 239 |
+
"eval_f1": 37.079523809523806,
|
| 240 |
+
"step": 2645
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 5.1,
|
| 244 |
+
"learning_rate": 5e-05,
|
| 245 |
+
"loss": 1.1376,
|
| 246 |
+
"step": 2700
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 5.29,
|
| 250 |
+
"learning_rate": 5e-05,
|
| 251 |
+
"loss": 1.1079,
|
| 252 |
+
"step": 2800
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 5.48,
|
| 256 |
+
"learning_rate": 5e-05,
|
| 257 |
+
"loss": 1.0954,
|
| 258 |
+
"step": 2900
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 5.67,
|
| 262 |
+
"learning_rate": 5e-05,
|
| 263 |
+
"loss": 1.1317,
|
| 264 |
+
"step": 3000
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 5.86,
|
| 268 |
+
"learning_rate": 5e-05,
|
| 269 |
+
"loss": 1.1098,
|
| 270 |
+
"step": 3100
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 6.0,
|
| 274 |
+
"eval_accuracy": 0.6114871794871795,
|
| 275 |
+
"eval_loss": 1.4720605611801147,
|
| 276 |
+
"eval_runtime": 4.5,
|
| 277 |
+
"eval_samples_per_second": 111.11,
|
| 278 |
+
"eval_steps_per_second": 14.0,
|
| 279 |
+
"step": 3174
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 6.0,
|
| 283 |
+
"eval_exact_match": 24.4,
|
| 284 |
+
"eval_f1": 35.78015873015873,
|
| 285 |
+
"step": 3174
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 6.05,
|
| 289 |
+
"learning_rate": 5e-05,
|
| 290 |
+
"loss": 1.0945,
|
| 291 |
+
"step": 3200
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 6.24,
|
| 295 |
+
"learning_rate": 5e-05,
|
| 296 |
+
"loss": 1.0309,
|
| 297 |
+
"step": 3300
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 6.43,
|
| 301 |
+
"learning_rate": 5e-05,
|
| 302 |
+
"loss": 1.0389,
|
| 303 |
+
"step": 3400
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 6.62,
|
| 307 |
+
"learning_rate": 5e-05,
|
| 308 |
+
"loss": 1.0547,
|
| 309 |
+
"step": 3500
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 6.81,
|
| 313 |
+
"learning_rate": 5e-05,
|
| 314 |
+
"loss": 1.0618,
|
| 315 |
+
"step": 3600
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 6.99,
|
| 319 |
+
"learning_rate": 5e-05,
|
| 320 |
+
"loss": 1.0753,
|
| 321 |
+
"step": 3700
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 7.0,
|
| 325 |
+
"eval_accuracy": 0.6076410256410256,
|
| 326 |
+
"eval_loss": 1.5797967910766602,
|
| 327 |
+
"eval_runtime": 4.8128,
|
| 328 |
+
"eval_samples_per_second": 103.891,
|
| 329 |
+
"eval_steps_per_second": 13.09,
|
| 330 |
+
"step": 3703
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 7.0,
|
| 334 |
+
"eval_exact_match": 21.8,
|
| 335 |
+
"eval_f1": 33.15111111111111,
|
| 336 |
+
"step": 3703
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 7.18,
|
| 340 |
+
"learning_rate": 5e-05,
|
| 341 |
+
"loss": 0.9727,
|
| 342 |
+
"step": 3800
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 7.37,
|
| 346 |
+
"learning_rate": 5e-05,
|
| 347 |
+
"loss": 0.9815,
|
| 348 |
+
"step": 3900
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 7.56,
|
| 352 |
+
"learning_rate": 5e-05,
|
| 353 |
+
"loss": 0.9777,
|
| 354 |
+
"step": 4000
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 7.75,
|
| 358 |
+
"learning_rate": 5e-05,
|
| 359 |
+
"loss": 0.9984,
|
| 360 |
+
"step": 4100
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 7.94,
|
| 364 |
+
"learning_rate": 5e-05,
|
| 365 |
+
"loss": 1.0048,
|
| 366 |
+
"step": 4200
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 8.0,
|
| 370 |
+
"eval_accuracy": 0.6084102564102564,
|
| 371 |
+
"eval_loss": 1.6041829586029053,
|
| 372 |
+
"eval_runtime": 4.4087,
|
| 373 |
+
"eval_samples_per_second": 113.411,
|
| 374 |
+
"eval_steps_per_second": 14.29,
|
| 375 |
+
"step": 4232
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 8.0,
|
| 379 |
+
"eval_exact_match": 22.4,
|
| 380 |
+
"eval_f1": 35.09904761904763,
|
| 381 |
+
"step": 4232
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 8.13,
|
| 385 |
+
"learning_rate": 5e-05,
|
| 386 |
+
"loss": 0.9568,
|
| 387 |
+
"step": 4300
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 8.32,
|
| 391 |
+
"learning_rate": 5e-05,
|
| 392 |
+
"loss": 0.9088,
|
| 393 |
+
"step": 4400
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 8.51,
|
| 397 |
+
"learning_rate": 5e-05,
|
| 398 |
+
"loss": 0.9341,
|
| 399 |
+
"step": 4500
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 8.7,
|
| 403 |
+
"learning_rate": 5e-05,
|
| 404 |
+
"loss": 0.9285,
|
| 405 |
+
"step": 4600
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 8.88,
|
| 409 |
+
"learning_rate": 5e-05,
|
| 410 |
+
"loss": 0.9456,
|
| 411 |
+
"step": 4700
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 9.0,
|
| 415 |
+
"eval_accuracy": 0.5976923076923077,
|
| 416 |
+
"eval_loss": 1.684310793876648,
|
| 417 |
+
"eval_runtime": 4.9249,
|
| 418 |
+
"eval_samples_per_second": 101.524,
|
| 419 |
+
"eval_steps_per_second": 12.792,
|
| 420 |
+
"step": 4761
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 9.0,
|
| 424 |
+
"eval_exact_match": 24.6,
|
| 425 |
+
"eval_f1": 36.32493506493508,
|
| 426 |
+
"step": 4761
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 9.07,
|
| 430 |
+
"learning_rate": 5e-05,
|
| 431 |
+
"loss": 0.912,
|
| 432 |
+
"step": 4800
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 9.26,
|
| 436 |
+
"learning_rate": 5e-05,
|
| 437 |
+
"loss": 0.8443,
|
| 438 |
+
"step": 4900
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 9.45,
|
| 442 |
+
"learning_rate": 5e-05,
|
| 443 |
+
"loss": 0.8789,
|
| 444 |
+
"step": 5000
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 9.64,
|
| 448 |
+
"learning_rate": 5e-05,
|
| 449 |
+
"loss": 0.8865,
|
| 450 |
+
"step": 5100
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 9.83,
|
| 454 |
+
"learning_rate": 5e-05,
|
| 455 |
+
"loss": 0.8766,
|
| 456 |
+
"step": 5200
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 10.0,
|
| 460 |
+
"eval_accuracy": 0.6051282051282051,
|
| 461 |
+
"eval_loss": 1.7828805446624756,
|
| 462 |
+
"eval_runtime": 4.1983,
|
| 463 |
+
"eval_samples_per_second": 119.096,
|
| 464 |
+
"eval_steps_per_second": 15.006,
|
| 465 |
+
"step": 5290
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 10.0,
|
| 469 |
+
"eval_exact_match": 23.0,
|
| 470 |
+
"eval_f1": 34.336190476190495,
|
| 471 |
+
"step": 5290
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 10.02,
|
| 475 |
+
"learning_rate": 5e-05,
|
| 476 |
+
"loss": 0.8835,
|
| 477 |
+
"step": 5300
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 10.21,
|
| 481 |
+
"learning_rate": 5e-05,
|
| 482 |
+
"loss": 0.8095,
|
| 483 |
+
"step": 5400
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 10.4,
|
| 487 |
+
"learning_rate": 5e-05,
|
| 488 |
+
"loss": 0.8008,
|
| 489 |
+
"step": 5500
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 10.59,
|
| 493 |
+
"learning_rate": 5e-05,
|
| 494 |
+
"loss": 0.8208,
|
| 495 |
+
"step": 5600
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 10.78,
|
| 499 |
+
"learning_rate": 5e-05,
|
| 500 |
+
"loss": 0.8282,
|
| 501 |
+
"step": 5700
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 10.96,
|
| 505 |
+
"learning_rate": 5e-05,
|
| 506 |
+
"loss": 0.8273,
|
| 507 |
+
"step": 5800
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 11.0,
|
| 511 |
+
"eval_accuracy": 0.6043076923076923,
|
| 512 |
+
"eval_loss": 1.8059720993041992,
|
| 513 |
+
"eval_runtime": 4.2264,
|
| 514 |
+
"eval_samples_per_second": 118.304,
|
| 515 |
+
"eval_steps_per_second": 14.906,
|
| 516 |
+
"step": 5819
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 11.0,
|
| 520 |
+
"eval_exact_match": 21.6,
|
| 521 |
+
"eval_f1": 32.628095238095234,
|
| 522 |
+
"step": 5819
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 11.15,
|
| 526 |
+
"learning_rate": 5e-05,
|
| 527 |
+
"loss": 0.7637,
|
| 528 |
+
"step": 5900
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 11.34,
|
| 532 |
+
"learning_rate": 5e-05,
|
| 533 |
+
"loss": 0.7581,
|
| 534 |
+
"step": 6000
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 11.53,
|
| 538 |
+
"learning_rate": 5e-05,
|
| 539 |
+
"loss": 0.7571,
|
| 540 |
+
"step": 6100
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 11.72,
|
| 544 |
+
"learning_rate": 5e-05,
|
| 545 |
+
"loss": 0.7637,
|
| 546 |
+
"step": 6200
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 11.91,
|
| 550 |
+
"learning_rate": 5e-05,
|
| 551 |
+
"loss": 0.7755,
|
| 552 |
+
"step": 6300
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 12.0,
|
| 556 |
+
"eval_accuracy": 0.6018974358974359,
|
| 557 |
+
"eval_loss": 1.8729300498962402,
|
| 558 |
+
"eval_runtime": 4.2001,
|
| 559 |
+
"eval_samples_per_second": 119.045,
|
| 560 |
+
"eval_steps_per_second": 15.0,
|
| 561 |
+
"step": 6348
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 12.0,
|
| 565 |
+
"eval_exact_match": 16.8,
|
| 566 |
+
"eval_f1": 27.317351339157547,
|
| 567 |
+
"step": 6348
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 12.1,
|
| 571 |
+
"learning_rate": 5e-05,
|
| 572 |
+
"loss": 0.7386,
|
| 573 |
+
"step": 6400
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 12.29,
|
| 577 |
+
"learning_rate": 5e-05,
|
| 578 |
+
"loss": 0.6977,
|
| 579 |
+
"step": 6500
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 12.48,
|
| 583 |
+
"learning_rate": 5e-05,
|
| 584 |
+
"loss": 0.7185,
|
| 585 |
+
"step": 6600
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 12.67,
|
| 589 |
+
"learning_rate": 5e-05,
|
| 590 |
+
"loss": 0.7166,
|
| 591 |
+
"step": 6700
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 12.85,
|
| 595 |
+
"learning_rate": 5e-05,
|
| 596 |
+
"loss": 0.715,
|
| 597 |
+
"step": 6800
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 13.0,
|
| 601 |
+
"eval_accuracy": 0.6016923076923076,
|
| 602 |
+
"eval_loss": 1.9620097875595093,
|
| 603 |
+
"eval_runtime": 4.4055,
|
| 604 |
+
"eval_samples_per_second": 113.495,
|
| 605 |
+
"eval_steps_per_second": 14.3,
|
| 606 |
+
"step": 6877
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 13.0,
|
| 610 |
+
"eval_exact_match": 4.8,
|
| 611 |
+
"eval_f1": 9.356456790950029,
|
| 612 |
+
"step": 6877
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 13.04,
|
| 616 |
+
"learning_rate": 5e-05,
|
| 617 |
+
"loss": 0.7032,
|
| 618 |
+
"step": 6900
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 13.23,
|
| 622 |
+
"learning_rate": 5e-05,
|
| 623 |
+
"loss": 0.6494,
|
| 624 |
+
"step": 7000
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 13.42,
|
| 628 |
+
"learning_rate": 5e-05,
|
| 629 |
+
"loss": 0.6584,
|
| 630 |
+
"step": 7100
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 13.61,
|
| 634 |
+
"learning_rate": 5e-05,
|
| 635 |
+
"loss": 0.6681,
|
| 636 |
+
"step": 7200
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 13.8,
|
| 640 |
+
"learning_rate": 5e-05,
|
| 641 |
+
"loss": 0.6556,
|
| 642 |
+
"step": 7300
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 13.99,
|
| 646 |
+
"learning_rate": 5e-05,
|
| 647 |
+
"loss": 0.6804,
|
| 648 |
+
"step": 7400
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 14.0,
|
| 652 |
+
"eval_accuracy": 0.6009230769230769,
|
| 653 |
+
"eval_loss": 2.00297474861145,
|
| 654 |
+
"eval_runtime": 4.2009,
|
| 655 |
+
"eval_samples_per_second": 119.021,
|
| 656 |
+
"eval_steps_per_second": 14.997,
|
| 657 |
+
"step": 7406
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 14.0,
|
| 661 |
+
"eval_exact_match": 5.8,
|
| 662 |
+
"eval_f1": 13.996400415302853,
|
| 663 |
+
"step": 7406
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 14.18,
|
| 667 |
+
"learning_rate": 5e-05,
|
| 668 |
+
"loss": 0.5983,
|
| 669 |
+
"step": 7500
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 14.37,
|
| 673 |
+
"learning_rate": 5e-05,
|
| 674 |
+
"loss": 0.6056,
|
| 675 |
+
"step": 7600
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 14.56,
|
| 679 |
+
"learning_rate": 5e-05,
|
| 680 |
+
"loss": 0.6048,
|
| 681 |
+
"step": 7700
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 14.74,
|
| 685 |
+
"learning_rate": 5e-05,
|
| 686 |
+
"loss": 0.6322,
|
| 687 |
+
"step": 7800
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 14.93,
|
| 691 |
+
"learning_rate": 5e-05,
|
| 692 |
+
"loss": 0.6277,
|
| 693 |
+
"step": 7900
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 15.0,
|
| 697 |
+
"eval_accuracy": 0.5998461538461538,
|
| 698 |
+
"eval_loss": 2.0527751445770264,
|
| 699 |
+
"eval_runtime": 4.4287,
|
| 700 |
+
"eval_samples_per_second": 112.9,
|
| 701 |
+
"eval_steps_per_second": 14.225,
|
| 702 |
+
"step": 7935
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 15.0,
|
| 706 |
+
"eval_exact_match": 3.2,
|
| 707 |
+
"eval_f1": 8.78350649350649,
|
| 708 |
+
"step": 7935
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 15.12,
|
| 712 |
+
"learning_rate": 5e-05,
|
| 713 |
+
"loss": 0.5776,
|
| 714 |
+
"step": 8000
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 15.31,
|
| 718 |
+
"learning_rate": 5e-05,
|
| 719 |
+
"loss": 0.5522,
|
| 720 |
+
"step": 8100
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 15.5,
|
| 724 |
+
"learning_rate": 5e-05,
|
| 725 |
+
"loss": 0.5735,
|
| 726 |
+
"step": 8200
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 15.69,
|
| 730 |
+
"learning_rate": 5e-05,
|
| 731 |
+
"loss": 0.5637,
|
| 732 |
+
"step": 8300
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 15.88,
|
| 736 |
+
"learning_rate": 5e-05,
|
| 737 |
+
"loss": 0.5733,
|
| 738 |
+
"step": 8400
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 16.0,
|
| 742 |
+
"eval_accuracy": 0.6012307692307692,
|
| 743 |
+
"eval_loss": 2.047515392303467,
|
| 744 |
+
"eval_runtime": 4.1989,
|
| 745 |
+
"eval_samples_per_second": 119.079,
|
| 746 |
+
"eval_steps_per_second": 15.004,
|
| 747 |
+
"step": 8464
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 16.0,
|
| 751 |
+
"eval_exact_match": 0.6,
|
| 752 |
+
"eval_f1": 1.077443805758639,
|
| 753 |
+
"step": 8464
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 16.07,
|
| 757 |
+
"learning_rate": 5e-05,
|
| 758 |
+
"loss": 0.5601,
|
| 759 |
+
"step": 8500
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 16.26,
|
| 763 |
+
"learning_rate": 5e-05,
|
| 764 |
+
"loss": 0.5126,
|
| 765 |
+
"step": 8600
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 16.45,
|
| 769 |
+
"learning_rate": 5e-05,
|
| 770 |
+
"loss": 0.5217,
|
| 771 |
+
"step": 8700
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 16.64,
|
| 775 |
+
"learning_rate": 5e-05,
|
| 776 |
+
"loss": 0.5291,
|
| 777 |
+
"step": 8800
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 16.82,
|
| 781 |
+
"learning_rate": 5e-05,
|
| 782 |
+
"loss": 0.5409,
|
| 783 |
+
"step": 8900
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 17.0,
|
| 787 |
+
"eval_accuracy": 0.5748717948717949,
|
| 788 |
+
"eval_loss": 2.092020273208618,
|
| 789 |
+
"eval_runtime": 4.1044,
|
| 790 |
+
"eval_samples_per_second": 121.822,
|
| 791 |
+
"eval_steps_per_second": 15.35,
|
| 792 |
+
"step": 8993
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 17.0,
|
| 796 |
+
"eval_exact_match": 0.4,
|
| 797 |
+
"eval_f1": 2.398489535596529,
|
| 798 |
+
"step": 8993
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"epoch": 17.01,
|
| 802 |
+
"learning_rate": 5e-05,
|
| 803 |
+
"loss": 0.5354,
|
| 804 |
+
"step": 9000
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 17.2,
|
| 808 |
+
"learning_rate": 5e-05,
|
| 809 |
+
"loss": 0.4629,
|
| 810 |
+
"step": 9100
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 17.39,
|
| 814 |
+
"learning_rate": 5e-05,
|
| 815 |
+
"loss": 0.4795,
|
| 816 |
+
"step": 9200
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 17.58,
|
| 820 |
+
"learning_rate": 5e-05,
|
| 821 |
+
"loss": 0.4921,
|
| 822 |
+
"step": 9300
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 17.77,
|
| 826 |
+
"learning_rate": 5e-05,
|
| 827 |
+
"loss": 0.4928,
|
| 828 |
+
"step": 9400
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 17.96,
|
| 832 |
+
"learning_rate": 5e-05,
|
| 833 |
+
"loss": 0.5024,
|
| 834 |
+
"step": 9500
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 18.0,
|
| 838 |
+
"eval_accuracy": 0.5986153846153847,
|
| 839 |
+
"eval_loss": 2.120666980743408,
|
| 840 |
+
"eval_runtime": 4.3114,
|
| 841 |
+
"eval_samples_per_second": 115.973,
|
| 842 |
+
"eval_steps_per_second": 14.613,
|
| 843 |
+
"step": 9522
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 18.0,
|
| 847 |
+
"eval_exact_match": 0.2,
|
| 848 |
+
"eval_f1": 0.6343183616587786,
|
| 849 |
+
"step": 9522
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 18.15,
|
| 853 |
+
"learning_rate": 5e-05,
|
| 854 |
+
"loss": 0.4539,
|
| 855 |
+
"step": 9600
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 18.34,
|
| 859 |
+
"learning_rate": 5e-05,
|
| 860 |
+
"loss": 0.4345,
|
| 861 |
+
"step": 9700
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 18.53,
|
| 865 |
+
"learning_rate": 5e-05,
|
| 866 |
+
"loss": 0.4399,
|
| 867 |
+
"step": 9800
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 18.71,
|
| 871 |
+
"learning_rate": 5e-05,
|
| 872 |
+
"loss": 0.4581,
|
| 873 |
+
"step": 9900
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 18.9,
|
| 877 |
+
"learning_rate": 5e-05,
|
| 878 |
+
"loss": 0.4699,
|
| 879 |
+
"step": 10000
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 19.0,
|
| 883 |
+
"eval_accuracy": 0.5992820512820513,
|
| 884 |
+
"eval_loss": 2.110786199569702,
|
| 885 |
+
"eval_runtime": 4.2008,
|
| 886 |
+
"eval_samples_per_second": 119.024,
|
| 887 |
+
"eval_steps_per_second": 14.997,
|
| 888 |
+
"step": 10051
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 19.0,
|
| 892 |
+
"eval_exact_match": 0.0,
|
| 893 |
+
"eval_f1": 0.006153846153846154,
|
| 894 |
+
"step": 10051
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 19.09,
|
| 898 |
+
"learning_rate": 5e-05,
|
| 899 |
+
"loss": 0.4363,
|
| 900 |
+
"step": 10100
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 19.28,
|
| 904 |
+
"learning_rate": 5e-05,
|
| 905 |
+
"loss": 0.4021,
|
| 906 |
+
"step": 10200
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 19.47,
|
| 910 |
+
"learning_rate": 5e-05,
|
| 911 |
+
"loss": 0.4161,
|
| 912 |
+
"step": 10300
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 19.66,
|
| 916 |
+
"learning_rate": 5e-05,
|
| 917 |
+
"loss": 0.425,
|
| 918 |
+
"step": 10400
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"epoch": 19.85,
|
| 922 |
+
"learning_rate": 5e-05,
|
| 923 |
+
"loss": 0.4367,
|
| 924 |
+
"step": 10500
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"epoch": 20.0,
|
| 928 |
+
"eval_accuracy": 0.6004615384615385,
|
| 929 |
+
"eval_loss": 2.1088976860046387,
|
| 930 |
+
"eval_runtime": 4.0958,
|
| 931 |
+
"eval_samples_per_second": 122.078,
|
| 932 |
+
"eval_steps_per_second": 15.382,
|
| 933 |
+
"step": 10580
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 20.0,
|
| 937 |
+
"eval_exact_match": 0.0,
|
| 938 |
+
"eval_f1": 0.04062256613300257,
|
| 939 |
+
"step": 10580
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 20.04,
|
| 943 |
+
"learning_rate": 5e-05,
|
| 944 |
+
"loss": 0.4264,
|
| 945 |
+
"step": 10600
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 20.23,
|
| 949 |
+
"learning_rate": 5e-05,
|
| 950 |
+
"loss": 0.3746,
|
| 951 |
+
"step": 10700
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 20.42,
|
| 955 |
+
"learning_rate": 5e-05,
|
| 956 |
+
"loss": 0.3834,
|
| 957 |
+
"step": 10800
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 20.6,
|
| 961 |
+
"learning_rate": 5e-05,
|
| 962 |
+
"loss": 0.4015,
|
| 963 |
+
"step": 10900
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 20.79,
|
| 967 |
+
"learning_rate": 5e-05,
|
| 968 |
+
"loss": 0.4284,
|
| 969 |
+
"step": 11000
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 20.98,
|
| 973 |
+
"learning_rate": 5e-05,
|
| 974 |
+
"loss": 0.857,
|
| 975 |
+
"step": 11100
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 21.0,
|
| 979 |
+
"eval_accuracy": 0.5983076923076923,
|
| 980 |
+
"eval_loss": 2.0215413570404053,
|
| 981 |
+
"eval_runtime": 4.0942,
|
| 982 |
+
"eval_samples_per_second": 122.125,
|
| 983 |
+
"eval_steps_per_second": 15.388,
|
| 984 |
+
"step": 11109
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 21.0,
|
| 988 |
+
"eval_exact_match": 0.0,
|
| 989 |
+
"eval_f1": 0.0,
|
| 990 |
+
"step": 11109
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 21.17,
|
| 994 |
+
"learning_rate": 5e-05,
|
| 995 |
+
"loss": 0.8884,
|
| 996 |
+
"step": 11200
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 21.36,
|
| 1000 |
+
"learning_rate": 5e-05,
|
| 1001 |
+
"loss": 1.4123,
|
| 1002 |
+
"step": 11300
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 21.55,
|
| 1006 |
+
"learning_rate": 5e-05,
|
| 1007 |
+
"loss": 2.3033,
|
| 1008 |
+
"step": 11400
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 21.74,
|
| 1012 |
+
"learning_rate": 5e-05,
|
| 1013 |
+
"loss": 2.1144,
|
| 1014 |
+
"step": 11500
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 21.93,
|
| 1018 |
+
"learning_rate": 5e-05,
|
| 1019 |
+
"loss": 3.7434,
|
| 1020 |
+
"step": 11600
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 22.0,
|
| 1024 |
+
"eval_accuracy": 0.22333333333333333,
|
| 1025 |
+
"eval_loss": 10.118596076965332,
|
| 1026 |
+
"eval_runtime": 4.3085,
|
| 1027 |
+
"eval_samples_per_second": 116.049,
|
| 1028 |
+
"eval_steps_per_second": 14.622,
|
| 1029 |
+
"step": 11638
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 22.0,
|
| 1033 |
+
"eval_exact_match": 0.0,
|
| 1034 |
+
"eval_f1": 0.0,
|
| 1035 |
+
"step": 11638
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 22.12,
|
| 1039 |
+
"learning_rate": 5e-05,
|
| 1040 |
+
"loss": 9.1896,
|
| 1041 |
+
"step": 11700
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 22.31,
|
| 1045 |
+
"learning_rate": 5e-05,
|
| 1046 |
+
"loss": 9.6027,
|
| 1047 |
+
"step": 11800
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 22.5,
|
| 1051 |
+
"learning_rate": 5e-05,
|
| 1052 |
+
"loss": 11.4681,
|
| 1053 |
+
"step": 11900
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 22.68,
|
| 1057 |
+
"learning_rate": 5e-05,
|
| 1058 |
+
"loss": 8.4061,
|
| 1059 |
+
"step": 12000
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 22.87,
|
| 1063 |
+
"learning_rate": 5e-05,
|
| 1064 |
+
"loss": 7.7259,
|
| 1065 |
+
"step": 12100
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 23.0,
|
| 1069 |
+
"eval_accuracy": 0.19856410256410256,
|
| 1070 |
+
"eval_loss": 7.537852764129639,
|
| 1071 |
+
"eval_runtime": 4.1062,
|
| 1072 |
+
"eval_samples_per_second": 121.768,
|
| 1073 |
+
"eval_steps_per_second": 15.343,
|
| 1074 |
+
"step": 12167
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 23.0,
|
| 1078 |
+
"eval_exact_match": 0.0,
|
| 1079 |
+
"eval_f1": 0.08333333333333333,
|
| 1080 |
+
"step": 12167
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 23.06,
|
| 1084 |
+
"learning_rate": 5e-05,
|
| 1085 |
+
"loss": 7.3869,
|
| 1086 |
+
"step": 12200
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 23.25,
|
| 1090 |
+
"learning_rate": 5e-05,
|
| 1091 |
+
"loss": 7.3438,
|
| 1092 |
+
"step": 12300
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 23.44,
|
| 1096 |
+
"learning_rate": 5e-05,
|
| 1097 |
+
"loss": 7.1672,
|
| 1098 |
+
"step": 12400
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 23.63,
|
| 1102 |
+
"learning_rate": 5e-05,
|
| 1103 |
+
"loss": 7.5678,
|
| 1104 |
+
"step": 12500
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 23.82,
|
| 1108 |
+
"learning_rate": 5e-05,
|
| 1109 |
+
"loss": 4.2204,
|
| 1110 |
+
"step": 12600
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 24.0,
|
| 1114 |
+
"eval_accuracy": 0.5344615384615384,
|
| 1115 |
+
"eval_loss": 2.1567773818969727,
|
| 1116 |
+
"eval_runtime": 4.8187,
|
| 1117 |
+
"eval_samples_per_second": 103.763,
|
| 1118 |
+
"eval_steps_per_second": 13.074,
|
| 1119 |
+
"step": 12696
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 24.0,
|
| 1123 |
+
"eval_exact_match": 0.0,
|
| 1124 |
+
"eval_f1": 0.1556396274796546,
|
| 1125 |
+
"step": 12696
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 24.01,
|
| 1129 |
+
"learning_rate": 5e-05,
|
| 1130 |
+
"loss": 2.243,
|
| 1131 |
+
"step": 12700
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 24.2,
|
| 1135 |
+
"learning_rate": 5e-05,
|
| 1136 |
+
"loss": 1.4067,
|
| 1137 |
+
"step": 12800
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 24.39,
|
| 1141 |
+
"learning_rate": 5e-05,
|
| 1142 |
+
"loss": 1.0065,
|
| 1143 |
+
"step": 12900
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 24.57,
|
| 1147 |
+
"learning_rate": 5e-05,
|
| 1148 |
+
"loss": 0.8179,
|
| 1149 |
+
"step": 13000
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 24.76,
|
| 1153 |
+
"learning_rate": 5e-05,
|
| 1154 |
+
"loss": 0.7917,
|
| 1155 |
+
"step": 13100
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 24.95,
|
| 1159 |
+
"learning_rate": 5e-05,
|
| 1160 |
+
"loss": 0.7385,
|
| 1161 |
+
"step": 13200
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 25.0,
|
| 1165 |
+
"eval_accuracy": 0.5963076923076923,
|
| 1166 |
+
"eval_loss": 1.8228886127471924,
|
| 1167 |
+
"eval_runtime": 4.8179,
|
| 1168 |
+
"eval_samples_per_second": 103.781,
|
| 1169 |
+
"eval_steps_per_second": 13.076,
|
| 1170 |
+
"step": 13225
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 25.0,
|
| 1174 |
+
"eval_exact_match": 5.2,
|
| 1175 |
+
"eval_f1": 8.718379522680063,
|
| 1176 |
+
"step": 13225
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 25.14,
|
| 1180 |
+
"learning_rate": 5e-05,
|
| 1181 |
+
"loss": 0.8862,
|
| 1182 |
+
"step": 13300
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 25.33,
|
| 1186 |
+
"learning_rate": 5e-05,
|
| 1187 |
+
"loss": 0.5963,
|
| 1188 |
+
"step": 13400
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 25.52,
|
| 1192 |
+
"learning_rate": 5e-05,
|
| 1193 |
+
"loss": 2.7783,
|
| 1194 |
+
"step": 13500
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 25.71,
|
| 1198 |
+
"learning_rate": 5e-05,
|
| 1199 |
+
"loss": 1.4347,
|
| 1200 |
+
"step": 13600
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 25.9,
|
| 1204 |
+
"learning_rate": 5e-05,
|
| 1205 |
+
"loss": 1.1473,
|
| 1206 |
+
"step": 13700
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 26.0,
|
| 1210 |
+
"eval_accuracy": 0.5788205128205128,
|
| 1211 |
+
"eval_loss": 1.7569822072982788,
|
| 1212 |
+
"eval_runtime": 4.1999,
|
| 1213 |
+
"eval_samples_per_second": 119.049,
|
| 1214 |
+
"eval_steps_per_second": 15.0,
|
| 1215 |
+
"step": 13754
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 26.0,
|
| 1219 |
+
"eval_exact_match": 0.0,
|
| 1220 |
+
"eval_f1": 0.0,
|
| 1221 |
+
"step": 13754
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 26.09,
|
| 1225 |
+
"learning_rate": 5e-05,
|
| 1226 |
+
"loss": 1.2078,
|
| 1227 |
+
"step": 13800
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 26.28,
|
| 1231 |
+
"learning_rate": 5e-05,
|
| 1232 |
+
"loss": 1.2602,
|
| 1233 |
+
"step": 13900
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 26.47,
|
| 1237 |
+
"learning_rate": 5e-05,
|
| 1238 |
+
"loss": 2.3188,
|
| 1239 |
+
"step": 14000
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 26.65,
|
| 1243 |
+
"learning_rate": 5e-05,
|
| 1244 |
+
"loss": 2.2177,
|
| 1245 |
+
"step": 14100
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 26.84,
|
| 1249 |
+
"learning_rate": 5e-05,
|
| 1250 |
+
"loss": 2.0182,
|
| 1251 |
+
"step": 14200
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 27.0,
|
| 1255 |
+
"eval_accuracy": 0.5573333333333333,
|
| 1256 |
+
"eval_loss": 1.729324221611023,
|
| 1257 |
+
"eval_runtime": 4.5012,
|
| 1258 |
+
"eval_samples_per_second": 111.082,
|
| 1259 |
+
"eval_steps_per_second": 13.996,
|
| 1260 |
+
"step": 14283
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 27.0,
|
| 1264 |
+
"eval_exact_match": 0.0,
|
| 1265 |
+
"eval_f1": 0.03798603689725877,
|
| 1266 |
+
"step": 14283
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 27.03,
|
| 1270 |
+
"learning_rate": 5e-05,
|
| 1271 |
+
"loss": 1.4892,
|
| 1272 |
+
"step": 14300
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 27.22,
|
| 1276 |
+
"learning_rate": 5e-05,
|
| 1277 |
+
"loss": 1.6886,
|
| 1278 |
+
"step": 14400
|
| 1279 |
+
},
|
| 1280 |
+
{
|
| 1281 |
+
"epoch": 27.41,
|
| 1282 |
+
"learning_rate": 5e-05,
|
| 1283 |
+
"loss": 2.2033,
|
| 1284 |
+
"step": 14500
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 27.6,
|
| 1288 |
+
"learning_rate": 5e-05,
|
| 1289 |
+
"loss": 2.5533,
|
| 1290 |
+
"step": 14600
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 27.79,
|
| 1294 |
+
"learning_rate": 5e-05,
|
| 1295 |
+
"loss": 2.5524,
|
| 1296 |
+
"step": 14700
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 27.98,
|
| 1300 |
+
"learning_rate": 5e-05,
|
| 1301 |
+
"loss": 2.2707,
|
| 1302 |
+
"step": 14800
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"epoch": 28.0,
|
| 1306 |
+
"eval_accuracy": 0.4955897435897436,
|
| 1307 |
+
"eval_loss": 2.7017431259155273,
|
| 1308 |
+
"eval_runtime": 4.2078,
|
| 1309 |
+
"eval_samples_per_second": 118.828,
|
| 1310 |
+
"eval_steps_per_second": 14.972,
|
| 1311 |
+
"step": 14812
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 28.0,
|
| 1315 |
+
"eval_exact_match": 0.0,
|
| 1316 |
+
"eval_f1": 0.0059701492537313425,
|
| 1317 |
+
"step": 14812
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 28.17,
|
| 1321 |
+
"learning_rate": 5e-05,
|
| 1322 |
+
"loss": 2.4127,
|
| 1323 |
+
"step": 14900
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 28.36,
|
| 1327 |
+
"learning_rate": 5e-05,
|
| 1328 |
+
"loss": 2.3233,
|
| 1329 |
+
"step": 15000
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 28.54,
|
| 1333 |
+
"learning_rate": 5e-05,
|
| 1334 |
+
"loss": 2.2381,
|
| 1335 |
+
"step": 15100
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 28.73,
|
| 1339 |
+
"learning_rate": 5e-05,
|
| 1340 |
+
"loss": 2.9648,
|
| 1341 |
+
"step": 15200
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 28.92,
|
| 1345 |
+
"learning_rate": 5e-05,
|
| 1346 |
+
"loss": 4.1792,
|
| 1347 |
+
"step": 15300
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 29.0,
|
| 1351 |
+
"eval_accuracy": 0.307025641025641,
|
| 1352 |
+
"eval_loss": 5.828761577606201,
|
| 1353 |
+
"eval_runtime": 4.2948,
|
| 1354 |
+
"eval_samples_per_second": 116.419,
|
| 1355 |
+
"eval_steps_per_second": 14.669,
|
| 1356 |
+
"step": 15341
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 29.0,
|
| 1360 |
+
"eval_exact_match": 0.0,
|
| 1361 |
+
"eval_f1": 0.0,
|
| 1362 |
+
"step": 15341
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 29.11,
|
| 1366 |
+
"learning_rate": 5e-05,
|
| 1367 |
+
"loss": 4.8652,
|
| 1368 |
+
"step": 15400
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 29.3,
|
| 1372 |
+
"learning_rate": 5e-05,
|
| 1373 |
+
"loss": 5.5675,
|
| 1374 |
+
"step": 15500
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 29.49,
|
| 1378 |
+
"learning_rate": 5e-05,
|
| 1379 |
+
"loss": 6.4337,
|
| 1380 |
+
"step": 15600
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 29.68,
|
| 1384 |
+
"learning_rate": 5e-05,
|
| 1385 |
+
"loss": 7.5369,
|
| 1386 |
+
"step": 15700
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 29.87,
|
| 1390 |
+
"learning_rate": 5e-05,
|
| 1391 |
+
"loss": 7.7703,
|
| 1392 |
+
"step": 15800
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 30.0,
|
| 1396 |
+
"eval_accuracy": 0.19215384615384615,
|
| 1397 |
+
"eval_loss": 7.661909103393555,
|
| 1398 |
+
"eval_runtime": 4.4106,
|
| 1399 |
+
"eval_samples_per_second": 113.363,
|
| 1400 |
+
"eval_steps_per_second": 14.284,
|
| 1401 |
+
"step": 15870
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 30.0,
|
| 1405 |
+
"eval_exact_match": 0.0,
|
| 1406 |
+
"eval_f1": 0.0,
|
| 1407 |
+
"step": 15870
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 30.06,
|
| 1411 |
+
"learning_rate": 5e-05,
|
| 1412 |
+
"loss": 7.7483,
|
| 1413 |
+
"step": 15900
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 30.25,
|
| 1417 |
+
"learning_rate": 5e-05,
|
| 1418 |
+
"loss": 7.6746,
|
| 1419 |
+
"step": 16000
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 30.43,
|
| 1423 |
+
"learning_rate": 5e-05,
|
| 1424 |
+
"loss": 7.603,
|
| 1425 |
+
"step": 16100
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 30.62,
|
| 1429 |
+
"learning_rate": 5e-05,
|
| 1430 |
+
"loss": 7.7505,
|
| 1431 |
+
"step": 16200
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 30.81,
|
| 1435 |
+
"learning_rate": 5e-05,
|
| 1436 |
+
"loss": 7.7034,
|
| 1437 |
+
"step": 16300
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 31.0,
|
| 1441 |
+
"eval_accuracy": 0.19128205128205128,
|
| 1442 |
+
"eval_loss": 7.700345516204834,
|
| 1443 |
+
"eval_runtime": 4.103,
|
| 1444 |
+
"eval_samples_per_second": 121.863,
|
| 1445 |
+
"eval_steps_per_second": 15.355,
|
| 1446 |
+
"step": 16399
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 31.0,
|
| 1450 |
+
"eval_exact_match": 0.0,
|
| 1451 |
+
"eval_f1": 0.0,
|
| 1452 |
+
"step": 16399
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 31.0,
|
| 1456 |
+
"learning_rate": 5e-05,
|
| 1457 |
+
"loss": 7.6791,
|
| 1458 |
+
"step": 16400
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 31.19,
|
| 1462 |
+
"learning_rate": 5e-05,
|
| 1463 |
+
"loss": 7.8604,
|
| 1464 |
+
"step": 16500
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 31.38,
|
| 1468 |
+
"learning_rate": 5e-05,
|
| 1469 |
+
"loss": 7.8378,
|
| 1470 |
+
"step": 16600
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 31.57,
|
| 1474 |
+
"learning_rate": 5e-05,
|
| 1475 |
+
"loss": 7.893,
|
| 1476 |
+
"step": 16700
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 31.76,
|
| 1480 |
+
"learning_rate": 5e-05,
|
| 1481 |
+
"loss": 7.9123,
|
| 1482 |
+
"step": 16800
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 31.95,
|
| 1486 |
+
"learning_rate": 5e-05,
|
| 1487 |
+
"loss": 7.9533,
|
| 1488 |
+
"step": 16900
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 32.0,
|
| 1492 |
+
"eval_accuracy": 0.18994871794871795,
|
| 1493 |
+
"eval_loss": 7.8667449951171875,
|
| 1494 |
+
"eval_runtime": 4.0996,
|
| 1495 |
+
"eval_samples_per_second": 121.963,
|
| 1496 |
+
"eval_steps_per_second": 15.367,
|
| 1497 |
+
"step": 16928
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 32.0,
|
| 1501 |
+
"eval_exact_match": 0.0,
|
| 1502 |
+
"eval_f1": 0.0,
|
| 1503 |
+
"step": 16928
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 32.14,
|
| 1507 |
+
"learning_rate": 5e-05,
|
| 1508 |
+
"loss": 7.9955,
|
| 1509 |
+
"step": 17000
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 32.33,
|
| 1513 |
+
"learning_rate": 5e-05,
|
| 1514 |
+
"loss": 7.9227,
|
| 1515 |
+
"step": 17100
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 32.51,
|
| 1519 |
+
"learning_rate": 5e-05,
|
| 1520 |
+
"loss": 7.9429,
|
| 1521 |
+
"step": 17200
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 32.7,
|
| 1525 |
+
"learning_rate": 5e-05,
|
| 1526 |
+
"loss": 7.8826,
|
| 1527 |
+
"step": 17300
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 32.89,
|
| 1531 |
+
"learning_rate": 5e-05,
|
| 1532 |
+
"loss": 7.8634,
|
| 1533 |
+
"step": 17400
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 33.0,
|
| 1537 |
+
"eval_accuracy": 0.18974358974358974,
|
| 1538 |
+
"eval_loss": 7.813361167907715,
|
| 1539 |
+
"eval_runtime": 4.3681,
|
| 1540 |
+
"eval_samples_per_second": 114.465,
|
| 1541 |
+
"eval_steps_per_second": 14.423,
|
| 1542 |
+
"step": 17457
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 33.0,
|
| 1546 |
+
"eval_exact_match": 0.0,
|
| 1547 |
+
"eval_f1": 0.0,
|
| 1548 |
+
"step": 17457
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 33.08,
|
| 1552 |
+
"learning_rate": 5e-05,
|
| 1553 |
+
"loss": 7.8948,
|
| 1554 |
+
"step": 17500
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 33.27,
|
| 1558 |
+
"learning_rate": 5e-05,
|
| 1559 |
+
"loss": 7.8637,
|
| 1560 |
+
"step": 17600
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 33.46,
|
| 1564 |
+
"learning_rate": 5e-05,
|
| 1565 |
+
"loss": 7.9794,
|
| 1566 |
+
"step": 17700
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 33.65,
|
| 1570 |
+
"learning_rate": 5e-05,
|
| 1571 |
+
"loss": 7.9124,
|
| 1572 |
+
"step": 17800
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 33.84,
|
| 1576 |
+
"learning_rate": 5e-05,
|
| 1577 |
+
"loss": 7.8584,
|
| 1578 |
+
"step": 17900
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 34.0,
|
| 1582 |
+
"eval_accuracy": 0.1882051282051282,
|
| 1583 |
+
"eval_loss": 7.675987243652344,
|
| 1584 |
+
"eval_runtime": 4.8156,
|
| 1585 |
+
"eval_samples_per_second": 103.83,
|
| 1586 |
+
"eval_steps_per_second": 13.083,
|
| 1587 |
+
"step": 17986
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 34.0,
|
| 1591 |
+
"eval_exact_match": 0.0,
|
| 1592 |
+
"eval_f1": 0.0,
|
| 1593 |
+
"step": 17986
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 34.03,
|
| 1597 |
+
"learning_rate": 5e-05,
|
| 1598 |
+
"loss": 7.7803,
|
| 1599 |
+
"step": 18000
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 34.22,
|
| 1603 |
+
"learning_rate": 5e-05,
|
| 1604 |
+
"loss": 7.831,
|
| 1605 |
+
"step": 18100
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 34.4,
|
| 1609 |
+
"learning_rate": 5e-05,
|
| 1610 |
+
"loss": 7.7742,
|
| 1611 |
+
"step": 18200
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 34.59,
|
| 1615 |
+
"learning_rate": 5e-05,
|
| 1616 |
+
"loss": 7.7111,
|
| 1617 |
+
"step": 18300
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 34.78,
|
| 1621 |
+
"learning_rate": 5e-05,
|
| 1622 |
+
"loss": 7.7003,
|
| 1623 |
+
"step": 18400
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 34.97,
|
| 1627 |
+
"learning_rate": 5e-05,
|
| 1628 |
+
"loss": 7.824,
|
| 1629 |
+
"step": 18500
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 35.0,
|
| 1633 |
+
"eval_accuracy": 0.18882051282051282,
|
| 1634 |
+
"eval_loss": 7.708338737487793,
|
| 1635 |
+
"eval_runtime": 4.4094,
|
| 1636 |
+
"eval_samples_per_second": 113.394,
|
| 1637 |
+
"eval_steps_per_second": 14.288,
|
| 1638 |
+
"step": 18515
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 35.0,
|
| 1642 |
+
"eval_exact_match": 0.0,
|
| 1643 |
+
"eval_f1": 0.0,
|
| 1644 |
+
"step": 18515
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 35.16,
|
| 1648 |
+
"learning_rate": 5e-05,
|
| 1649 |
+
"loss": 7.7841,
|
| 1650 |
+
"step": 18600
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 35.35,
|
| 1654 |
+
"learning_rate": 5e-05,
|
| 1655 |
+
"loss": 7.7835,
|
| 1656 |
+
"step": 18700
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 35.54,
|
| 1660 |
+
"learning_rate": 5e-05,
|
| 1661 |
+
"loss": 7.7445,
|
| 1662 |
+
"step": 18800
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 35.73,
|
| 1666 |
+
"learning_rate": 5e-05,
|
| 1667 |
+
"loss": 7.7534,
|
| 1668 |
+
"step": 18900
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 35.92,
|
| 1672 |
+
"learning_rate": 5e-05,
|
| 1673 |
+
"loss": 7.7446,
|
| 1674 |
+
"step": 19000
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 36.0,
|
| 1678 |
+
"eval_accuracy": 0.18876923076923077,
|
| 1679 |
+
"eval_loss": 7.662600517272949,
|
| 1680 |
+
"eval_runtime": 4.1047,
|
| 1681 |
+
"eval_samples_per_second": 121.813,
|
| 1682 |
+
"eval_steps_per_second": 15.348,
|
| 1683 |
+
"step": 19044
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 36.0,
|
| 1687 |
+
"eval_exact_match": 0.0,
|
| 1688 |
+
"eval_f1": 0.0,
|
| 1689 |
+
"step": 19044
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 36.11,
|
| 1693 |
+
"learning_rate": 5e-05,
|
| 1694 |
+
"loss": 7.7429,
|
| 1695 |
+
"step": 19100
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 36.29,
|
| 1699 |
+
"learning_rate": 5e-05,
|
| 1700 |
+
"loss": 7.7358,
|
| 1701 |
+
"step": 19200
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 36.48,
|
| 1705 |
+
"learning_rate": 5e-05,
|
| 1706 |
+
"loss": 7.7383,
|
| 1707 |
+
"step": 19300
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 36.67,
|
| 1711 |
+
"learning_rate": 5e-05,
|
| 1712 |
+
"loss": 7.6699,
|
| 1713 |
+
"step": 19400
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 36.86,
|
| 1717 |
+
"learning_rate": 5e-05,
|
| 1718 |
+
"loss": 7.6708,
|
| 1719 |
+
"step": 19500
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 37.0,
|
| 1723 |
+
"eval_accuracy": 0.18861538461538463,
|
| 1724 |
+
"eval_loss": 7.552917957305908,
|
| 1725 |
+
"eval_runtime": 4.2063,
|
| 1726 |
+
"eval_samples_per_second": 118.871,
|
| 1727 |
+
"eval_steps_per_second": 14.978,
|
| 1728 |
+
"step": 19573
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 37.0,
|
| 1732 |
+
"eval_exact_match": 0.0,
|
| 1733 |
+
"eval_f1": 0.0,
|
| 1734 |
+
"step": 19573
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 37.05,
|
| 1738 |
+
"learning_rate": 5e-05,
|
| 1739 |
+
"loss": 7.6666,
|
| 1740 |
+
"step": 19600
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 37.24,
|
| 1744 |
+
"learning_rate": 5e-05,
|
| 1745 |
+
"loss": 7.6806,
|
| 1746 |
+
"step": 19700
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 37.43,
|
| 1750 |
+
"learning_rate": 5e-05,
|
| 1751 |
+
"loss": 7.6722,
|
| 1752 |
+
"step": 19800
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 37.62,
|
| 1756 |
+
"learning_rate": 5e-05,
|
| 1757 |
+
"loss": 7.6849,
|
| 1758 |
+
"step": 19900
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"epoch": 37.81,
|
| 1762 |
+
"learning_rate": 5e-05,
|
| 1763 |
+
"loss": 7.6704,
|
| 1764 |
+
"step": 20000
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 38.0,
|
| 1768 |
+
"learning_rate": 5e-05,
|
| 1769 |
+
"loss": 7.6733,
|
| 1770 |
+
"step": 20100
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 38.0,
|
| 1774 |
+
"eval_accuracy": 0.19030769230769232,
|
| 1775 |
+
"eval_loss": 7.570416450500488,
|
| 1776 |
+
"eval_runtime": 4.8393,
|
| 1777 |
+
"eval_samples_per_second": 103.32,
|
| 1778 |
+
"eval_steps_per_second": 13.018,
|
| 1779 |
+
"step": 20102
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 38.0,
|
| 1783 |
+
"eval_exact_match": 0.0,
|
| 1784 |
+
"eval_f1": 0.0,
|
| 1785 |
+
"step": 20102
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 38.19,
|
| 1789 |
+
"learning_rate": 5e-05,
|
| 1790 |
+
"loss": 7.6549,
|
| 1791 |
+
"step": 20200
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 38.37,
|
| 1795 |
+
"learning_rate": 5e-05,
|
| 1796 |
+
"loss": 7.6237,
|
| 1797 |
+
"step": 20300
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 38.56,
|
| 1801 |
+
"learning_rate": 5e-05,
|
| 1802 |
+
"loss": 7.6291,
|
| 1803 |
+
"step": 20400
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 38.75,
|
| 1807 |
+
"learning_rate": 5e-05,
|
| 1808 |
+
"loss": 7.6129,
|
| 1809 |
+
"step": 20500
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 38.94,
|
| 1813 |
+
"learning_rate": 5e-05,
|
| 1814 |
+
"loss": 7.6271,
|
| 1815 |
+
"step": 20600
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 39.0,
|
| 1819 |
+
"eval_accuracy": 0.19487179487179487,
|
| 1820 |
+
"eval_loss": 7.5362548828125,
|
| 1821 |
+
"eval_runtime": 4.4106,
|
| 1822 |
+
"eval_samples_per_second": 113.363,
|
| 1823 |
+
"eval_steps_per_second": 14.284,
|
| 1824 |
+
"step": 20631
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 39.0,
|
| 1828 |
+
"eval_exact_match": 0.0,
|
| 1829 |
+
"eval_f1": 0.0,
|
| 1830 |
+
"step": 20631
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 39.13,
|
| 1834 |
+
"learning_rate": 5e-05,
|
| 1835 |
+
"loss": 7.6365,
|
| 1836 |
+
"step": 20700
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 39.32,
|
| 1840 |
+
"learning_rate": 5e-05,
|
| 1841 |
+
"loss": 7.6218,
|
| 1842 |
+
"step": 20800
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 39.51,
|
| 1846 |
+
"learning_rate": 5e-05,
|
| 1847 |
+
"loss": 7.6271,
|
| 1848 |
+
"step": 20900
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 39.7,
|
| 1852 |
+
"learning_rate": 5e-05,
|
| 1853 |
+
"loss": 7.6249,
|
| 1854 |
+
"step": 21000
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 39.89,
|
| 1858 |
+
"learning_rate": 5e-05,
|
| 1859 |
+
"loss": 7.5886,
|
| 1860 |
+
"step": 21100
|
| 1861 |
+
},
|
| 1862 |
+
{
|
| 1863 |
+
"epoch": 40.0,
|
| 1864 |
+
"eval_accuracy": 0.21302564102564103,
|
| 1865 |
+
"eval_loss": 7.468353748321533,
|
| 1866 |
+
"eval_runtime": 4.5982,
|
| 1867 |
+
"eval_samples_per_second": 108.738,
|
| 1868 |
+
"eval_steps_per_second": 13.701,
|
| 1869 |
+
"step": 21160
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 40.0,
|
| 1873 |
+
"eval_exact_match": 0.0,
|
| 1874 |
+
"eval_f1": 0.0,
|
| 1875 |
+
"step": 21160
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 40.08,
|
| 1879 |
+
"learning_rate": 5e-05,
|
| 1880 |
+
"loss": 7.5842,
|
| 1881 |
+
"step": 21200
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 40.26,
|
| 1885 |
+
"learning_rate": 5e-05,
|
| 1886 |
+
"loss": 7.5987,
|
| 1887 |
+
"step": 21300
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 40.45,
|
| 1891 |
+
"learning_rate": 5e-05,
|
| 1892 |
+
"loss": 7.5694,
|
| 1893 |
+
"step": 21400
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 40.64,
|
| 1897 |
+
"learning_rate": 5e-05,
|
| 1898 |
+
"loss": 7.5779,
|
| 1899 |
+
"step": 21500
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 40.83,
|
| 1903 |
+
"learning_rate": 5e-05,
|
| 1904 |
+
"loss": 7.5514,
|
| 1905 |
+
"step": 21600
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 41.0,
|
| 1909 |
+
"eval_accuracy": 0.20774358974358975,
|
| 1910 |
+
"eval_loss": 7.422276496887207,
|
| 1911 |
+
"eval_runtime": 4.2316,
|
| 1912 |
+
"eval_samples_per_second": 118.16,
|
| 1913 |
+
"eval_steps_per_second": 14.888,
|
| 1914 |
+
"step": 21689
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 41.0,
|
| 1918 |
+
"eval_exact_match": 0.0,
|
| 1919 |
+
"eval_f1": 0.0,
|
| 1920 |
+
"step": 21689
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 41.02,
|
| 1924 |
+
"learning_rate": 5e-05,
|
| 1925 |
+
"loss": 7.5404,
|
| 1926 |
+
"step": 21700
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 41.21,
|
| 1930 |
+
"learning_rate": 5e-05,
|
| 1931 |
+
"loss": 7.5435,
|
| 1932 |
+
"step": 21800
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 41.4,
|
| 1936 |
+
"learning_rate": 5e-05,
|
| 1937 |
+
"loss": 7.526,
|
| 1938 |
+
"step": 21900
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 41.59,
|
| 1942 |
+
"learning_rate": 5e-05,
|
| 1943 |
+
"loss": 7.5238,
|
| 1944 |
+
"step": 22000
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 41.78,
|
| 1948 |
+
"learning_rate": 5e-05,
|
| 1949 |
+
"loss": 7.5161,
|
| 1950 |
+
"step": 22100
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 41.97,
|
| 1954 |
+
"learning_rate": 5e-05,
|
| 1955 |
+
"loss": 7.5205,
|
| 1956 |
+
"step": 22200
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 42.0,
|
| 1960 |
+
"eval_accuracy": 0.19456410256410256,
|
| 1961 |
+
"eval_loss": 7.350826263427734,
|
| 1962 |
+
"eval_runtime": 5.0373,
|
| 1963 |
+
"eval_samples_per_second": 99.259,
|
| 1964 |
+
"eval_steps_per_second": 12.507,
|
| 1965 |
+
"step": 22218
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 42.0,
|
| 1969 |
+
"eval_exact_match": 0.0,
|
| 1970 |
+
"eval_f1": 0.0,
|
| 1971 |
+
"step": 22218
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 42.16,
|
| 1975 |
+
"learning_rate": 5e-05,
|
| 1976 |
+
"loss": 7.486,
|
| 1977 |
+
"step": 22300
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 42.34,
|
| 1981 |
+
"learning_rate": 5e-05,
|
| 1982 |
+
"loss": 7.4922,
|
| 1983 |
+
"step": 22400
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 42.53,
|
| 1987 |
+
"learning_rate": 5e-05,
|
| 1988 |
+
"loss": 7.4647,
|
| 1989 |
+
"step": 22500
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 42.72,
|
| 1993 |
+
"learning_rate": 5e-05,
|
| 1994 |
+
"loss": 7.4584,
|
| 1995 |
+
"step": 22600
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 42.91,
|
| 1999 |
+
"learning_rate": 5e-05,
|
| 2000 |
+
"loss": 7.4577,
|
| 2001 |
+
"step": 22700
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 43.0,
|
| 2005 |
+
"eval_accuracy": 0.19512820512820514,
|
| 2006 |
+
"eval_loss": 7.178500175476074,
|
| 2007 |
+
"eval_runtime": 4.1027,
|
| 2008 |
+
"eval_samples_per_second": 121.872,
|
| 2009 |
+
"eval_steps_per_second": 15.356,
|
| 2010 |
+
"step": 22747
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 43.0,
|
| 2014 |
+
"eval_exact_match": 0.0,
|
| 2015 |
+
"eval_f1": 0.0,
|
| 2016 |
+
"step": 22747
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 43.1,
|
| 2020 |
+
"learning_rate": 5e-05,
|
| 2021 |
+
"loss": 7.4186,
|
| 2022 |
+
"step": 22800
|
| 2023 |
+
},
|
| 2024 |
+
{
|
| 2025 |
+
"epoch": 43.29,
|
| 2026 |
+
"learning_rate": 5e-05,
|
| 2027 |
+
"loss": 7.4057,
|
| 2028 |
+
"step": 22900
|
| 2029 |
+
},
|
| 2030 |
+
{
|
| 2031 |
+
"epoch": 43.48,
|
| 2032 |
+
"learning_rate": 5e-05,
|
| 2033 |
+
"loss": 7.4082,
|
| 2034 |
+
"step": 23000
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 43.67,
|
| 2038 |
+
"learning_rate": 5e-05,
|
| 2039 |
+
"loss": 7.3923,
|
| 2040 |
+
"step": 23100
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 43.86,
|
| 2044 |
+
"learning_rate": 5e-05,
|
| 2045 |
+
"loss": 7.5021,
|
| 2046 |
+
"step": 23200
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 44.0,
|
| 2050 |
+
"eval_accuracy": 0.20923076923076922,
|
| 2051 |
+
"eval_loss": 6.622580051422119,
|
| 2052 |
+
"eval_runtime": 5.127,
|
| 2053 |
+
"eval_samples_per_second": 97.522,
|
| 2054 |
+
"eval_steps_per_second": 12.288,
|
| 2055 |
+
"step": 23276
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 44.0,
|
| 2059 |
+
"eval_exact_match": 0.0,
|
| 2060 |
+
"eval_f1": 0.0,
|
| 2061 |
+
"step": 23276
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 44.05,
|
| 2065 |
+
"learning_rate": 5e-05,
|
| 2066 |
+
"loss": 7.0886,
|
| 2067 |
+
"step": 23300
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 44.23,
|
| 2071 |
+
"learning_rate": 5e-05,
|
| 2072 |
+
"loss": 6.8981,
|
| 2073 |
+
"step": 23400
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 44.42,
|
| 2077 |
+
"learning_rate": 5e-05,
|
| 2078 |
+
"loss": 6.935,
|
| 2079 |
+
"step": 23500
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 44.61,
|
| 2083 |
+
"learning_rate": 5e-05,
|
| 2084 |
+
"loss": 7.391,
|
| 2085 |
+
"step": 23600
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 44.8,
|
| 2089 |
+
"learning_rate": 5e-05,
|
| 2090 |
+
"loss": 7.9261,
|
| 2091 |
+
"step": 23700
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 44.99,
|
| 2095 |
+
"learning_rate": 5e-05,
|
| 2096 |
+
"loss": 7.1133,
|
| 2097 |
+
"step": 23800
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 45.0,
|
| 2101 |
+
"eval_accuracy": 0.19943589743589743,
|
| 2102 |
+
"eval_loss": 6.4100470542907715,
|
| 2103 |
+
"eval_runtime": 4.1044,
|
| 2104 |
+
"eval_samples_per_second": 121.82,
|
| 2105 |
+
"eval_steps_per_second": 15.349,
|
| 2106 |
+
"step": 23805
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 45.0,
|
| 2110 |
+
"eval_exact_match": 0.0,
|
| 2111 |
+
"eval_f1": 0.0,
|
| 2112 |
+
"step": 23805
|
| 2113 |
+
},
|
| 2114 |
+
{
|
| 2115 |
+
"epoch": 45.18,
|
| 2116 |
+
"learning_rate": 5e-05,
|
| 2117 |
+
"loss": 7.0339,
|
| 2118 |
+
"step": 23900
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"epoch": 45.37,
|
| 2122 |
+
"learning_rate": 5e-05,
|
| 2123 |
+
"loss": 7.4855,
|
| 2124 |
+
"step": 24000
|
| 2125 |
+
},
|
| 2126 |
+
{
|
| 2127 |
+
"epoch": 45.56,
|
| 2128 |
+
"learning_rate": 5e-05,
|
| 2129 |
+
"loss": 7.0461,
|
| 2130 |
+
"step": 24100
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 45.75,
|
| 2134 |
+
"learning_rate": 5e-05,
|
| 2135 |
+
"loss": 7.0083,
|
| 2136 |
+
"step": 24200
|
| 2137 |
+
},
|
| 2138 |
+
{
|
| 2139 |
+
"epoch": 45.94,
|
| 2140 |
+
"learning_rate": 5e-05,
|
| 2141 |
+
"loss": 6.9682,
|
| 2142 |
+
"step": 24300
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"epoch": 46.0,
|
| 2146 |
+
"eval_accuracy": 0.22497435897435897,
|
| 2147 |
+
"eval_loss": 6.355289459228516,
|
| 2148 |
+
"eval_runtime": 4.1015,
|
| 2149 |
+
"eval_samples_per_second": 121.905,
|
| 2150 |
+
"eval_steps_per_second": 15.36,
|
| 2151 |
+
"step": 24334
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 46.0,
|
| 2155 |
+
"eval_exact_match": 0.0,
|
| 2156 |
+
"eval_f1": 0.0,
|
| 2157 |
+
"step": 24334
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 46.12,
|
| 2161 |
+
"learning_rate": 5e-05,
|
| 2162 |
+
"loss": 6.9544,
|
| 2163 |
+
"step": 24400
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 46.31,
|
| 2167 |
+
"learning_rate": 5e-05,
|
| 2168 |
+
"loss": 6.9313,
|
| 2169 |
+
"step": 24500
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 46.5,
|
| 2173 |
+
"learning_rate": 5e-05,
|
| 2174 |
+
"loss": 6.9282,
|
| 2175 |
+
"step": 24600
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 46.69,
|
| 2179 |
+
"learning_rate": 5e-05,
|
| 2180 |
+
"loss": 6.9053,
|
| 2181 |
+
"step": 24700
|
| 2182 |
+
},
|
| 2183 |
+
{
|
| 2184 |
+
"epoch": 46.88,
|
| 2185 |
+
"learning_rate": 5e-05,
|
| 2186 |
+
"loss": 6.8891,
|
| 2187 |
+
"step": 24800
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 47.0,
|
| 2191 |
+
"eval_accuracy": 0.22235897435897437,
|
| 2192 |
+
"eval_loss": 6.312758922576904,
|
| 2193 |
+
"eval_runtime": 4.4993,
|
| 2194 |
+
"eval_samples_per_second": 111.128,
|
| 2195 |
+
"eval_steps_per_second": 14.002,
|
| 2196 |
+
"step": 24863
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 47.0,
|
| 2200 |
+
"eval_exact_match": 0.0,
|
| 2201 |
+
"eval_f1": 0.0,
|
| 2202 |
+
"step": 24863
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 47.07,
|
| 2206 |
+
"learning_rate": 5e-05,
|
| 2207 |
+
"loss": 6.8946,
|
| 2208 |
+
"step": 24900
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 47.26,
|
| 2212 |
+
"learning_rate": 5e-05,
|
| 2213 |
+
"loss": 6.891,
|
| 2214 |
+
"step": 25000
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 47.45,
|
| 2218 |
+
"learning_rate": 5e-05,
|
| 2219 |
+
"loss": 6.8629,
|
| 2220 |
+
"step": 25100
|
| 2221 |
+
},
|
| 2222 |
+
{
|
| 2223 |
+
"epoch": 47.64,
|
| 2224 |
+
"learning_rate": 5e-05,
|
| 2225 |
+
"loss": 6.8565,
|
| 2226 |
+
"step": 25200
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 47.83,
|
| 2230 |
+
"learning_rate": 5e-05,
|
| 2231 |
+
"loss": 6.8621,
|
| 2232 |
+
"step": 25300
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 48.0,
|
| 2236 |
+
"eval_accuracy": 0.23,
|
| 2237 |
+
"eval_loss": 6.2464728355407715,
|
| 2238 |
+
"eval_runtime": 4.2093,
|
| 2239 |
+
"eval_samples_per_second": 118.783,
|
| 2240 |
+
"eval_steps_per_second": 14.967,
|
| 2241 |
+
"step": 25392
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 48.0,
|
| 2245 |
+
"eval_exact_match": 0.0,
|
| 2246 |
+
"eval_f1": 0.0,
|
| 2247 |
+
"step": 25392
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 48.02,
|
| 2251 |
+
"learning_rate": 5e-05,
|
| 2252 |
+
"loss": 6.8663,
|
| 2253 |
+
"step": 25400
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 48.2,
|
| 2257 |
+
"learning_rate": 5e-05,
|
| 2258 |
+
"loss": 6.8607,
|
| 2259 |
+
"step": 25500
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 48.39,
|
| 2263 |
+
"learning_rate": 5e-05,
|
| 2264 |
+
"loss": 6.8698,
|
| 2265 |
+
"step": 25600
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 48.58,
|
| 2269 |
+
"learning_rate": 5e-05,
|
| 2270 |
+
"loss": 6.8366,
|
| 2271 |
+
"step": 25700
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 48.77,
|
| 2275 |
+
"learning_rate": 5e-05,
|
| 2276 |
+
"loss": 6.8415,
|
| 2277 |
+
"step": 25800
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 48.96,
|
| 2281 |
+
"learning_rate": 5e-05,
|
| 2282 |
+
"loss": 6.8176,
|
| 2283 |
+
"step": 25900
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 49.0,
|
| 2287 |
+
"eval_accuracy": 0.2561025641025641,
|
| 2288 |
+
"eval_loss": 6.196552753448486,
|
| 2289 |
+
"eval_runtime": 4.411,
|
| 2290 |
+
"eval_samples_per_second": 113.353,
|
| 2291 |
+
"eval_steps_per_second": 14.282,
|
| 2292 |
+
"step": 25921
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 49.0,
|
| 2296 |
+
"eval_exact_match": 0.0,
|
| 2297 |
+
"eval_f1": 0.0,
|
| 2298 |
+
"step": 25921
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 49.15,
|
| 2302 |
+
"learning_rate": 5e-05,
|
| 2303 |
+
"loss": 6.8197,
|
| 2304 |
+
"step": 26000
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 49.34,
|
| 2308 |
+
"learning_rate": 5e-05,
|
| 2309 |
+
"loss": 6.8248,
|
| 2310 |
+
"step": 26100
|
| 2311 |
+
},
|
| 2312 |
+
{
|
| 2313 |
+
"epoch": 49.53,
|
| 2314 |
+
"learning_rate": 5e-05,
|
| 2315 |
+
"loss": 6.8394,
|
| 2316 |
+
"step": 26200
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 49.72,
|
| 2320 |
+
"learning_rate": 5e-05,
|
| 2321 |
+
"loss": 6.7962,
|
| 2322 |
+
"step": 26300
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 49.91,
|
| 2326 |
+
"learning_rate": 5e-05,
|
| 2327 |
+
"loss": 6.9473,
|
| 2328 |
+
"step": 26400
|
| 2329 |
+
},
|
| 2330 |
+
{
|
| 2331 |
+
"epoch": 50.0,
|
| 2332 |
+
"eval_accuracy": 0.19302564102564101,
|
| 2333 |
+
"eval_loss": 6.791760444641113,
|
| 2334 |
+
"eval_runtime": 4.1966,
|
| 2335 |
+
"eval_samples_per_second": 119.145,
|
| 2336 |
+
"eval_steps_per_second": 15.012,
|
| 2337 |
+
"step": 26450
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 50.0,
|
| 2341 |
+
"eval_exact_match": 0.0,
|
| 2342 |
+
"eval_f1": 0.0,
|
| 2343 |
+
"step": 26450
|
| 2344 |
+
}
|
| 2345 |
+
],
|
| 2346 |
+
"logging_steps": 100,
|
| 2347 |
+
"max_steps": 26450,
|
| 2348 |
+
"num_train_epochs": 50,
|
| 2349 |
+
"save_steps": 500,
|
| 2350 |
+
"total_flos": 4.466691005730521e+18,
|
| 2351 |
+
"trial_name": null,
|
| 2352 |
+
"trial_params": null
|
| 2353 |
+
}
|
checkpoint-26450/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:391c04887a1ac777804ab56ff52563bcf9c4927713b353f37947aac9be091742
|
| 3 |
+
size 4728
|