tyzhu commited on
Commit
6cf0de3
1 Parent(s): 18c75bf

Training in progress, epoch 34, checkpoint

Browse files
checkpoint-17986/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-17986/adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "Qwen/Qwen1.5-4B",
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-17986/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5389952110cd47fe647534c65272abaf6a817ac07d0ad832859f52f4755bf046
3
+ size 112130416
checkpoint-17986/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
checkpoint-17986/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-17986/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1afb81307ea80ae77049ec5234f7b885c9c9b7b9de4826687aaca1db18265cf
3
+ size 224537202
checkpoint-17986/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b994d3ba35bdda76cacd11d427964bcef8354513e112722edd5220fecf0120aa
3
+ size 15024
checkpoint-17986/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c6801a6253809505af45848b28ed61ebc00dd8343a1c085ff8ae6ad00a57db0
3
+ size 15024
checkpoint-17986/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4373970d93ef8ddbd717bd09bcb735cb8bcd23785f6fbe930edb75339fb0c9d8
3
+ size 15024
checkpoint-17986/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c53284a64c4a610cd2f8f8c3ba7d5db376df44d8ff9505a668df950223d6e9b6
3
+ size 15024
checkpoint-17986/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d617a940a2c9a833087b0e7ac320b439ecc9e667627edfc7649545da467704b5
3
+ size 1064
checkpoint-17986/special_tokens_map.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": "<|endoftext|>"
14
+ }
checkpoint-17986/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-17986/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
checkpoint-17986/trainer_state.json ADDED
@@ -0,0 +1,1796 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 34.0,
5
+ "eval_steps": 500,
6
+ "global_step": 17986,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1890359168241966,
13
+ "grad_norm": 0.5107442140579224,
14
+ "learning_rate": 5e-05,
15
+ "loss": 2.0482,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.3780718336483932,
20
+ "grad_norm": 0.5563424229621887,
21
+ "learning_rate": 5e-05,
22
+ "loss": 1.8835,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.5671077504725898,
27
+ "grad_norm": 0.4735371172428131,
28
+ "learning_rate": 5e-05,
29
+ "loss": 1.8512,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.7561436672967864,
34
+ "grad_norm": 0.4543495178222656,
35
+ "learning_rate": 5e-05,
36
+ "loss": 1.8489,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.945179584120983,
41
+ "grad_norm": 0.5007112622261047,
42
+ "learning_rate": 5e-05,
43
+ "loss": 1.8439,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 1.0,
48
+ "eval_accuracy": 0.5733333333333334,
49
+ "eval_loss": 1.6194567680358887,
50
+ "eval_runtime": 5.4154,
51
+ "eval_samples_per_second": 92.33,
52
+ "eval_steps_per_second": 11.634,
53
+ "step": 529
54
+ },
55
+ {
56
+ "epoch": 1.0,
57
+ "eval_exact_match": 17.0,
58
+ "eval_f1": 26.880952380952387,
59
+ "step": 529
60
+ },
61
+ {
62
+ "epoch": 1.1342155009451795,
63
+ "grad_norm": 0.5181360244750977,
64
+ "learning_rate": 5e-05,
65
+ "loss": 1.8217,
66
+ "step": 600
67
+ },
68
+ {
69
+ "epoch": 1.3232514177693762,
70
+ "grad_norm": 1.1348918676376343,
71
+ "learning_rate": 5e-05,
72
+ "loss": 1.7866,
73
+ "step": 700
74
+ },
75
+ {
76
+ "epoch": 1.5122873345935728,
77
+ "grad_norm": 0.661758303642273,
78
+ "learning_rate": 5e-05,
79
+ "loss": 1.7934,
80
+ "step": 800
81
+ },
82
+ {
83
+ "epoch": 1.7013232514177694,
84
+ "grad_norm": 0.5634772777557373,
85
+ "learning_rate": 5e-05,
86
+ "loss": 1.7731,
87
+ "step": 900
88
+ },
89
+ {
90
+ "epoch": 1.8903591682419658,
91
+ "grad_norm": 0.6698930263519287,
92
+ "learning_rate": 5e-05,
93
+ "loss": 1.7969,
94
+ "step": 1000
95
+ },
96
+ {
97
+ "epoch": 2.0,
98
+ "eval_accuracy": 0.5751794871794872,
99
+ "eval_loss": 1.603736162185669,
100
+ "eval_runtime": 5.0986,
101
+ "eval_samples_per_second": 98.066,
102
+ "eval_steps_per_second": 12.356,
103
+ "step": 1058
104
+ },
105
+ {
106
+ "epoch": 2.0,
107
+ "eval_exact_match": 17.6,
108
+ "eval_f1": 27.218095238095238,
109
+ "step": 1058
110
+ },
111
+ {
112
+ "epoch": 2.0793950850661624,
113
+ "grad_norm": 0.6265193223953247,
114
+ "learning_rate": 5e-05,
115
+ "loss": 1.7416,
116
+ "step": 1100
117
+ },
118
+ {
119
+ "epoch": 2.268431001890359,
120
+ "grad_norm": 0.812364935874939,
121
+ "learning_rate": 5e-05,
122
+ "loss": 1.6957,
123
+ "step": 1200
124
+ },
125
+ {
126
+ "epoch": 2.4574669187145557,
127
+ "grad_norm": 1.0972926616668701,
128
+ "learning_rate": 5e-05,
129
+ "loss": 1.7033,
130
+ "step": 1300
131
+ },
132
+ {
133
+ "epoch": 2.6465028355387523,
134
+ "grad_norm": 1.0831658840179443,
135
+ "learning_rate": 5e-05,
136
+ "loss": 1.6935,
137
+ "step": 1400
138
+ },
139
+ {
140
+ "epoch": 2.835538752362949,
141
+ "grad_norm": 1.0022494792938232,
142
+ "learning_rate": 5e-05,
143
+ "loss": 1.6799,
144
+ "step": 1500
145
+ },
146
+ {
147
+ "epoch": 3.0,
148
+ "eval_accuracy": 0.573025641025641,
149
+ "eval_loss": 1.6428505182266235,
150
+ "eval_runtime": 5.1488,
151
+ "eval_samples_per_second": 97.111,
152
+ "eval_steps_per_second": 12.236,
153
+ "step": 1587
154
+ },
155
+ {
156
+ "epoch": 3.0,
157
+ "eval_exact_match": 20.2,
158
+ "eval_f1": 27.93809523809523,
159
+ "step": 1587
160
+ },
161
+ {
162
+ "epoch": 3.0245746691871456,
163
+ "grad_norm": 0.8240587711334229,
164
+ "learning_rate": 5e-05,
165
+ "loss": 1.6618,
166
+ "step": 1600
167
+ },
168
+ {
169
+ "epoch": 3.213610586011342,
170
+ "grad_norm": 1.2994645833969116,
171
+ "learning_rate": 5e-05,
172
+ "loss": 1.5736,
173
+ "step": 1700
174
+ },
175
+ {
176
+ "epoch": 3.402646502835539,
177
+ "grad_norm": 1.0891159772872925,
178
+ "learning_rate": 5e-05,
179
+ "loss": 1.5798,
180
+ "step": 1800
181
+ },
182
+ {
183
+ "epoch": 3.5916824196597354,
184
+ "grad_norm": 1.3826475143432617,
185
+ "learning_rate": 5e-05,
186
+ "loss": 1.5957,
187
+ "step": 1900
188
+ },
189
+ {
190
+ "epoch": 3.780718336483932,
191
+ "grad_norm": 0.9901586174964905,
192
+ "learning_rate": 5e-05,
193
+ "loss": 1.6026,
194
+ "step": 2000
195
+ },
196
+ {
197
+ "epoch": 3.9697542533081287,
198
+ "grad_norm": 1.0607813596725464,
199
+ "learning_rate": 5e-05,
200
+ "loss": 1.6106,
201
+ "step": 2100
202
+ },
203
+ {
204
+ "epoch": 4.0,
205
+ "eval_accuracy": 0.5708717948717948,
206
+ "eval_loss": 1.7143596410751343,
207
+ "eval_runtime": 5.3942,
208
+ "eval_samples_per_second": 92.693,
209
+ "eval_steps_per_second": 11.679,
210
+ "step": 2116
211
+ },
212
+ {
213
+ "epoch": 4.0,
214
+ "eval_exact_match": 19.0,
215
+ "eval_f1": 27.71428571428571,
216
+ "step": 2116
217
+ },
218
+ {
219
+ "epoch": 4.158790170132325,
220
+ "grad_norm": 1.3189178705215454,
221
+ "learning_rate": 5e-05,
222
+ "loss": 1.5029,
223
+ "step": 2200
224
+ },
225
+ {
226
+ "epoch": 4.3478260869565215,
227
+ "grad_norm": 1.062267541885376,
228
+ "learning_rate": 5e-05,
229
+ "loss": 1.51,
230
+ "step": 2300
231
+ },
232
+ {
233
+ "epoch": 4.536862003780718,
234
+ "grad_norm": 1.3810843229293823,
235
+ "learning_rate": 5e-05,
236
+ "loss": 1.4867,
237
+ "step": 2400
238
+ },
239
+ {
240
+ "epoch": 4.725897920604915,
241
+ "grad_norm": 1.1991653442382812,
242
+ "learning_rate": 5e-05,
243
+ "loss": 1.501,
244
+ "step": 2500
245
+ },
246
+ {
247
+ "epoch": 4.914933837429111,
248
+ "grad_norm": 1.310654878616333,
249
+ "learning_rate": 5e-05,
250
+ "loss": 1.5034,
251
+ "step": 2600
252
+ },
253
+ {
254
+ "epoch": 5.0,
255
+ "eval_accuracy": 0.5681025641025641,
256
+ "eval_loss": 1.8328346014022827,
257
+ "eval_runtime": 5.7763,
258
+ "eval_samples_per_second": 86.561,
259
+ "eval_steps_per_second": 10.907,
260
+ "step": 2645
261
+ },
262
+ {
263
+ "epoch": 5.0,
264
+ "eval_exact_match": 18.8,
265
+ "eval_f1": 26.6015873015873,
266
+ "step": 2645
267
+ },
268
+ {
269
+ "epoch": 5.103969754253308,
270
+ "grad_norm": 1.1406631469726562,
271
+ "learning_rate": 5e-05,
272
+ "loss": 1.4605,
273
+ "step": 2700
274
+ },
275
+ {
276
+ "epoch": 5.293005671077505,
277
+ "grad_norm": 1.447221279144287,
278
+ "learning_rate": 5e-05,
279
+ "loss": 1.4204,
280
+ "step": 2800
281
+ },
282
+ {
283
+ "epoch": 5.482041587901701,
284
+ "grad_norm": 1.461799144744873,
285
+ "learning_rate": 5e-05,
286
+ "loss": 1.4233,
287
+ "step": 2900
288
+ },
289
+ {
290
+ "epoch": 5.671077504725898,
291
+ "grad_norm": 1.4184092283248901,
292
+ "learning_rate": 5e-05,
293
+ "loss": 1.4265,
294
+ "step": 3000
295
+ },
296
+ {
297
+ "epoch": 5.8601134215500945,
298
+ "grad_norm": 0.9850455522537231,
299
+ "learning_rate": 5e-05,
300
+ "loss": 1.4139,
301
+ "step": 3100
302
+ },
303
+ {
304
+ "epoch": 6.0,
305
+ "eval_accuracy": 0.564974358974359,
306
+ "eval_loss": 1.931396484375,
307
+ "eval_runtime": 5.3358,
308
+ "eval_samples_per_second": 93.706,
309
+ "eval_steps_per_second": 11.807,
310
+ "step": 3174
311
+ },
312
+ {
313
+ "epoch": 6.0,
314
+ "eval_exact_match": 17.6,
315
+ "eval_f1": 25.464285714285715,
316
+ "step": 3174
317
+ },
318
+ {
319
+ "epoch": 6.049149338374291,
320
+ "grad_norm": 1.2274116277694702,
321
+ "learning_rate": 5e-05,
322
+ "loss": 1.4159,
323
+ "step": 3200
324
+ },
325
+ {
326
+ "epoch": 6.238185255198488,
327
+ "grad_norm": 1.2107988595962524,
328
+ "learning_rate": 5e-05,
329
+ "loss": 1.3579,
330
+ "step": 3300
331
+ },
332
+ {
333
+ "epoch": 6.427221172022684,
334
+ "grad_norm": 1.2965952157974243,
335
+ "learning_rate": 5e-05,
336
+ "loss": 1.3485,
337
+ "step": 3400
338
+ },
339
+ {
340
+ "epoch": 6.616257088846881,
341
+ "grad_norm": 1.3035151958465576,
342
+ "learning_rate": 5e-05,
343
+ "loss": 1.36,
344
+ "step": 3500
345
+ },
346
+ {
347
+ "epoch": 6.805293005671078,
348
+ "grad_norm": 1.1840296983718872,
349
+ "learning_rate": 5e-05,
350
+ "loss": 1.3599,
351
+ "step": 3600
352
+ },
353
+ {
354
+ "epoch": 6.994328922495274,
355
+ "grad_norm": 1.780287265777588,
356
+ "learning_rate": 5e-05,
357
+ "loss": 1.355,
358
+ "step": 3700
359
+ },
360
+ {
361
+ "epoch": 7.0,
362
+ "eval_accuracy": 0.565076923076923,
363
+ "eval_loss": 1.9659509658813477,
364
+ "eval_runtime": 5.3127,
365
+ "eval_samples_per_second": 94.114,
366
+ "eval_steps_per_second": 11.858,
367
+ "step": 3703
368
+ },
369
+ {
370
+ "epoch": 7.0,
371
+ "eval_exact_match": 18.0,
372
+ "eval_f1": 26.546666666666663,
373
+ "step": 3703
374
+ },
375
+ {
376
+ "epoch": 7.183364839319471,
377
+ "grad_norm": 1.1608421802520752,
378
+ "learning_rate": 5e-05,
379
+ "loss": 1.298,
380
+ "step": 3800
381
+ },
382
+ {
383
+ "epoch": 7.3724007561436675,
384
+ "grad_norm": 1.083270788192749,
385
+ "learning_rate": 5e-05,
386
+ "loss": 1.3088,
387
+ "step": 3900
388
+ },
389
+ {
390
+ "epoch": 7.561436672967864,
391
+ "grad_norm": 1.3489899635314941,
392
+ "learning_rate": 5e-05,
393
+ "loss": 1.299,
394
+ "step": 4000
395
+ },
396
+ {
397
+ "epoch": 7.750472589792061,
398
+ "grad_norm": 1.1663447618484497,
399
+ "learning_rate": 5e-05,
400
+ "loss": 1.2841,
401
+ "step": 4100
402
+ },
403
+ {
404
+ "epoch": 7.939508506616257,
405
+ "grad_norm": 1.9308583736419678,
406
+ "learning_rate": 5e-05,
407
+ "loss": 1.314,
408
+ "step": 4200
409
+ },
410
+ {
411
+ "epoch": 8.0,
412
+ "eval_accuracy": 0.5616923076923077,
413
+ "eval_loss": 2.1164443492889404,
414
+ "eval_runtime": 5.2165,
415
+ "eval_samples_per_second": 95.85,
416
+ "eval_steps_per_second": 12.077,
417
+ "step": 4232
418
+ },
419
+ {
420
+ "epoch": 8.0,
421
+ "eval_exact_match": 17.0,
422
+ "eval_f1": 24.659841269841277,
423
+ "step": 4232
424
+ },
425
+ {
426
+ "epoch": 8.128544423440454,
427
+ "grad_norm": 1.109632134437561,
428
+ "learning_rate": 5e-05,
429
+ "loss": 1.2558,
430
+ "step": 4300
431
+ },
432
+ {
433
+ "epoch": 8.31758034026465,
434
+ "grad_norm": 1.1132491827011108,
435
+ "learning_rate": 5e-05,
436
+ "loss": 1.2264,
437
+ "step": 4400
438
+ },
439
+ {
440
+ "epoch": 8.506616257088847,
441
+ "grad_norm": 1.1017369031906128,
442
+ "learning_rate": 5e-05,
443
+ "loss": 1.2649,
444
+ "step": 4500
445
+ },
446
+ {
447
+ "epoch": 8.695652173913043,
448
+ "grad_norm": 1.0874963998794556,
449
+ "learning_rate": 5e-05,
450
+ "loss": 1.2512,
451
+ "step": 4600
452
+ },
453
+ {
454
+ "epoch": 8.88468809073724,
455
+ "grad_norm": 1.2617064714431763,
456
+ "learning_rate": 5e-05,
457
+ "loss": 1.261,
458
+ "step": 4700
459
+ },
460
+ {
461
+ "epoch": 9.0,
462
+ "eval_accuracy": 0.5622051282051282,
463
+ "eval_loss": 2.1635327339172363,
464
+ "eval_runtime": 5.0832,
465
+ "eval_samples_per_second": 98.363,
466
+ "eval_steps_per_second": 12.394,
467
+ "step": 4761
468
+ },
469
+ {
470
+ "epoch": 9.0,
471
+ "eval_exact_match": 17.8,
472
+ "eval_f1": 25.451428571428576,
473
+ "step": 4761
474
+ },
475
+ {
476
+ "epoch": 9.073724007561436,
477
+ "grad_norm": 1.2258027791976929,
478
+ "learning_rate": 5e-05,
479
+ "loss": 1.2298,
480
+ "step": 4800
481
+ },
482
+ {
483
+ "epoch": 9.262759924385634,
484
+ "grad_norm": 1.8261148929595947,
485
+ "learning_rate": 5e-05,
486
+ "loss": 1.1748,
487
+ "step": 4900
488
+ },
489
+ {
490
+ "epoch": 9.45179584120983,
491
+ "grad_norm": 1.1221072673797607,
492
+ "learning_rate": 5e-05,
493
+ "loss": 1.19,
494
+ "step": 5000
495
+ },
496
+ {
497
+ "epoch": 9.640831758034027,
498
+ "grad_norm": 1.3320170640945435,
499
+ "learning_rate": 5e-05,
500
+ "loss": 1.1932,
501
+ "step": 5100
502
+ },
503
+ {
504
+ "epoch": 9.829867674858223,
505
+ "grad_norm": 1.194077730178833,
506
+ "learning_rate": 5e-05,
507
+ "loss": 1.217,
508
+ "step": 5200
509
+ },
510
+ {
511
+ "epoch": 10.0,
512
+ "eval_accuracy": 0.5612820512820513,
513
+ "eval_loss": 2.244041919708252,
514
+ "eval_runtime": 5.1606,
515
+ "eval_samples_per_second": 96.889,
516
+ "eval_steps_per_second": 12.208,
517
+ "step": 5290
518
+ },
519
+ {
520
+ "epoch": 10.0,
521
+ "eval_exact_match": 18.4,
522
+ "eval_f1": 26.067662337662348,
523
+ "step": 5290
524
+ },
525
+ {
526
+ "epoch": 10.01890359168242,
527
+ "grad_norm": 1.1352814435958862,
528
+ "learning_rate": 5e-05,
529
+ "loss": 1.2093,
530
+ "step": 5300
531
+ },
532
+ {
533
+ "epoch": 10.207939508506616,
534
+ "grad_norm": 1.2741838693618774,
535
+ "learning_rate": 5e-05,
536
+ "loss": 1.1467,
537
+ "step": 5400
538
+ },
539
+ {
540
+ "epoch": 10.396975425330814,
541
+ "grad_norm": 1.6901249885559082,
542
+ "learning_rate": 5e-05,
543
+ "loss": 1.1288,
544
+ "step": 5500
545
+ },
546
+ {
547
+ "epoch": 10.58601134215501,
548
+ "grad_norm": 1.1944465637207031,
549
+ "learning_rate": 5e-05,
550
+ "loss": 1.1399,
551
+ "step": 5600
552
+ },
553
+ {
554
+ "epoch": 10.775047258979207,
555
+ "grad_norm": 1.2234572172164917,
556
+ "learning_rate": 5e-05,
557
+ "loss": 1.1678,
558
+ "step": 5700
559
+ },
560
+ {
561
+ "epoch": 10.964083175803403,
562
+ "grad_norm": 1.2781612873077393,
563
+ "learning_rate": 5e-05,
564
+ "loss": 1.146,
565
+ "step": 5800
566
+ },
567
+ {
568
+ "epoch": 11.0,
569
+ "eval_accuracy": 0.5618461538461539,
570
+ "eval_loss": 2.296630859375,
571
+ "eval_runtime": 5.1078,
572
+ "eval_samples_per_second": 97.889,
573
+ "eval_steps_per_second": 12.334,
574
+ "step": 5819
575
+ },
576
+ {
577
+ "epoch": 11.0,
578
+ "eval_exact_match": 16.8,
579
+ "eval_f1": 23.63305916305917,
580
+ "step": 5819
581
+ },
582
+ {
583
+ "epoch": 11.1531190926276,
584
+ "grad_norm": 1.138975739479065,
585
+ "learning_rate": 5e-05,
586
+ "loss": 1.0842,
587
+ "step": 5900
588
+ },
589
+ {
590
+ "epoch": 11.342155009451796,
591
+ "grad_norm": 1.727989912033081,
592
+ "learning_rate": 5e-05,
593
+ "loss": 1.0806,
594
+ "step": 6000
595
+ },
596
+ {
597
+ "epoch": 11.531190926275993,
598
+ "grad_norm": 1.3104358911514282,
599
+ "learning_rate": 5e-05,
600
+ "loss": 1.0953,
601
+ "step": 6100
602
+ },
603
+ {
604
+ "epoch": 11.720226843100189,
605
+ "grad_norm": 1.3629850149154663,
606
+ "learning_rate": 5e-05,
607
+ "loss": 1.0945,
608
+ "step": 6200
609
+ },
610
+ {
611
+ "epoch": 11.909262759924385,
612
+ "grad_norm": 1.3276056051254272,
613
+ "learning_rate": 5e-05,
614
+ "loss": 1.1069,
615
+ "step": 6300
616
+ },
617
+ {
618
+ "epoch": 12.0,
619
+ "eval_accuracy": 0.562,
620
+ "eval_loss": 2.3118155002593994,
621
+ "eval_runtime": 5.3837,
622
+ "eval_samples_per_second": 92.873,
623
+ "eval_steps_per_second": 11.702,
624
+ "step": 6348
625
+ },
626
+ {
627
+ "epoch": 12.0,
628
+ "eval_exact_match": 17.4,
629
+ "eval_f1": 24.43924963924964,
630
+ "step": 6348
631
+ },
632
+ {
633
+ "epoch": 12.098298676748582,
634
+ "grad_norm": 1.2608078718185425,
635
+ "learning_rate": 5e-05,
636
+ "loss": 1.0418,
637
+ "step": 6400
638
+ },
639
+ {
640
+ "epoch": 12.287334593572778,
641
+ "grad_norm": 1.4456945657730103,
642
+ "learning_rate": 5e-05,
643
+ "loss": 1.0258,
644
+ "step": 6500
645
+ },
646
+ {
647
+ "epoch": 12.476370510396976,
648
+ "grad_norm": 1.4195287227630615,
649
+ "learning_rate": 5e-05,
650
+ "loss": 1.0255,
651
+ "step": 6600
652
+ },
653
+ {
654
+ "epoch": 12.665406427221171,
655
+ "grad_norm": 1.2595598697662354,
656
+ "learning_rate": 5e-05,
657
+ "loss": 1.0511,
658
+ "step": 6700
659
+ },
660
+ {
661
+ "epoch": 12.854442344045369,
662
+ "grad_norm": 1.5901292562484741,
663
+ "learning_rate": 5e-05,
664
+ "loss": 1.045,
665
+ "step": 6800
666
+ },
667
+ {
668
+ "epoch": 13.0,
669
+ "eval_accuracy": 0.5614871794871795,
670
+ "eval_loss": 2.3580987453460693,
671
+ "eval_runtime": 5.3496,
672
+ "eval_samples_per_second": 93.466,
673
+ "eval_steps_per_second": 11.777,
674
+ "step": 6877
675
+ },
676
+ {
677
+ "epoch": 13.0,
678
+ "eval_exact_match": 17.2,
679
+ "eval_f1": 24.350995670995676,
680
+ "step": 6877
681
+ },
682
+ {
683
+ "epoch": 13.043478260869565,
684
+ "grad_norm": 1.471511721611023,
685
+ "learning_rate": 5e-05,
686
+ "loss": 1.0404,
687
+ "step": 6900
688
+ },
689
+ {
690
+ "epoch": 13.232514177693762,
691
+ "grad_norm": 1.2928757667541504,
692
+ "learning_rate": 5e-05,
693
+ "loss": 0.9573,
694
+ "step": 7000
695
+ },
696
+ {
697
+ "epoch": 13.421550094517958,
698
+ "grad_norm": 1.5545622110366821,
699
+ "learning_rate": 5e-05,
700
+ "loss": 0.9583,
701
+ "step": 7100
702
+ },
703
+ {
704
+ "epoch": 13.610586011342155,
705
+ "grad_norm": 1.6132512092590332,
706
+ "learning_rate": 5e-05,
707
+ "loss": 0.981,
708
+ "step": 7200
709
+ },
710
+ {
711
+ "epoch": 13.799621928166351,
712
+ "grad_norm": 1.7548742294311523,
713
+ "learning_rate": 5e-05,
714
+ "loss": 0.9999,
715
+ "step": 7300
716
+ },
717
+ {
718
+ "epoch": 13.988657844990549,
719
+ "grad_norm": 1.4219907522201538,
720
+ "learning_rate": 5e-05,
721
+ "loss": 1.0028,
722
+ "step": 7400
723
+ },
724
+ {
725
+ "epoch": 14.0,
726
+ "eval_accuracy": 0.5618974358974359,
727
+ "eval_loss": 2.413728952407837,
728
+ "eval_runtime": 5.0464,
729
+ "eval_samples_per_second": 99.08,
730
+ "eval_steps_per_second": 12.484,
731
+ "step": 7406
732
+ },
733
+ {
734
+ "epoch": 14.0,
735
+ "eval_exact_match": 16.6,
736
+ "eval_f1": 24.201789321789327,
737
+ "step": 7406
738
+ },
739
+ {
740
+ "epoch": 14.177693761814744,
741
+ "grad_norm": 1.5799965858459473,
742
+ "learning_rate": 5e-05,
743
+ "loss": 0.9096,
744
+ "step": 7500
745
+ },
746
+ {
747
+ "epoch": 14.366729678638942,
748
+ "grad_norm": 1.5961594581604004,
749
+ "learning_rate": 5e-05,
750
+ "loss": 0.9075,
751
+ "step": 7600
752
+ },
753
+ {
754
+ "epoch": 14.555765595463138,
755
+ "grad_norm": 1.5756512880325317,
756
+ "learning_rate": 5e-05,
757
+ "loss": 0.9222,
758
+ "step": 7700
759
+ },
760
+ {
761
+ "epoch": 14.744801512287335,
762
+ "grad_norm": 1.515251636505127,
763
+ "learning_rate": 5e-05,
764
+ "loss": 0.9445,
765
+ "step": 7800
766
+ },
767
+ {
768
+ "epoch": 14.93383742911153,
769
+ "grad_norm": 2.6804299354553223,
770
+ "learning_rate": 5e-05,
771
+ "loss": 0.9153,
772
+ "step": 7900
773
+ },
774
+ {
775
+ "epoch": 15.0,
776
+ "eval_accuracy": 0.5596923076923077,
777
+ "eval_loss": 2.4756176471710205,
778
+ "eval_runtime": 5.1956,
779
+ "eval_samples_per_second": 96.236,
780
+ "eval_steps_per_second": 12.126,
781
+ "step": 7935
782
+ },
783
+ {
784
+ "epoch": 15.0,
785
+ "eval_exact_match": 16.8,
786
+ "eval_f1": 24.146709956709966,
787
+ "step": 7935
788
+ },
789
+ {
790
+ "epoch": 15.122873345935728,
791
+ "grad_norm": 1.7786214351654053,
792
+ "learning_rate": 5e-05,
793
+ "loss": 0.8874,
794
+ "step": 8000
795
+ },
796
+ {
797
+ "epoch": 15.311909262759924,
798
+ "grad_norm": 1.709060788154602,
799
+ "learning_rate": 5e-05,
800
+ "loss": 0.8538,
801
+ "step": 8100
802
+ },
803
+ {
804
+ "epoch": 15.500945179584122,
805
+ "grad_norm": 2.3245434761047363,
806
+ "learning_rate": 5e-05,
807
+ "loss": 0.8591,
808
+ "step": 8200
809
+ },
810
+ {
811
+ "epoch": 15.689981096408317,
812
+ "grad_norm": 1.6101887226104736,
813
+ "learning_rate": 5e-05,
814
+ "loss": 0.8593,
815
+ "step": 8300
816
+ },
817
+ {
818
+ "epoch": 15.879017013232515,
819
+ "grad_norm": 1.5917792320251465,
820
+ "learning_rate": 5e-05,
821
+ "loss": 0.8748,
822
+ "step": 8400
823
+ },
824
+ {
825
+ "epoch": 16.0,
826
+ "eval_accuracy": 0.5604615384615385,
827
+ "eval_loss": 2.4434447288513184,
828
+ "eval_runtime": 5.1072,
829
+ "eval_samples_per_second": 97.901,
830
+ "eval_steps_per_second": 12.336,
831
+ "step": 8464
832
+ },
833
+ {
834
+ "epoch": 16.0,
835
+ "eval_exact_match": 15.6,
836
+ "eval_f1": 22.917027417027416,
837
+ "step": 8464
838
+ },
839
+ {
840
+ "epoch": 16.068052930056712,
841
+ "grad_norm": 1.6529980897903442,
842
+ "learning_rate": 5e-05,
843
+ "loss": 0.8413,
844
+ "step": 8500
845
+ },
846
+ {
847
+ "epoch": 16.257088846880908,
848
+ "grad_norm": 1.931520938873291,
849
+ "learning_rate": 5e-05,
850
+ "loss": 0.7863,
851
+ "step": 8600
852
+ },
853
+ {
854
+ "epoch": 16.446124763705104,
855
+ "grad_norm": 1.8401894569396973,
856
+ "learning_rate": 5e-05,
857
+ "loss": 0.799,
858
+ "step": 8700
859
+ },
860
+ {
861
+ "epoch": 16.6351606805293,
862
+ "grad_norm": 1.7952015399932861,
863
+ "learning_rate": 5e-05,
864
+ "loss": 0.8238,
865
+ "step": 8800
866
+ },
867
+ {
868
+ "epoch": 16.8241965973535,
869
+ "grad_norm": 1.8028634786605835,
870
+ "learning_rate": 5e-05,
871
+ "loss": 0.807,
872
+ "step": 8900
873
+ },
874
+ {
875
+ "epoch": 17.0,
876
+ "eval_accuracy": 0.5606153846153846,
877
+ "eval_loss": 2.4520959854125977,
878
+ "eval_runtime": 5.1769,
879
+ "eval_samples_per_second": 96.584,
880
+ "eval_steps_per_second": 12.17,
881
+ "step": 8993
882
+ },
883
+ {
884
+ "epoch": 17.0,
885
+ "eval_exact_match": 17.4,
886
+ "eval_f1": 25.104011544011545,
887
+ "step": 8993
888
+ },
889
+ {
890
+ "epoch": 17.013232514177695,
891
+ "grad_norm": 1.7197688817977905,
892
+ "learning_rate": 5e-05,
893
+ "loss": 0.8249,
894
+ "step": 9000
895
+ },
896
+ {
897
+ "epoch": 17.20226843100189,
898
+ "grad_norm": 1.768463134765625,
899
+ "learning_rate": 5e-05,
900
+ "loss": 0.7304,
901
+ "step": 9100
902
+ },
903
+ {
904
+ "epoch": 17.391304347826086,
905
+ "grad_norm": 1.9696024656295776,
906
+ "learning_rate": 5e-05,
907
+ "loss": 0.7445,
908
+ "step": 9200
909
+ },
910
+ {
911
+ "epoch": 17.58034026465028,
912
+ "grad_norm": 2.093703269958496,
913
+ "learning_rate": 5e-05,
914
+ "loss": 0.755,
915
+ "step": 9300
916
+ },
917
+ {
918
+ "epoch": 17.76937618147448,
919
+ "grad_norm": 1.909550666809082,
920
+ "learning_rate": 5e-05,
921
+ "loss": 0.7698,
922
+ "step": 9400
923
+ },
924
+ {
925
+ "epoch": 17.958412098298677,
926
+ "grad_norm": 1.6835806369781494,
927
+ "learning_rate": 5e-05,
928
+ "loss": 0.7711,
929
+ "step": 9500
930
+ },
931
+ {
932
+ "epoch": 18.0,
933
+ "eval_accuracy": 0.5603589743589743,
934
+ "eval_loss": 2.473491668701172,
935
+ "eval_runtime": 5.4257,
936
+ "eval_samples_per_second": 92.155,
937
+ "eval_steps_per_second": 11.611,
938
+ "step": 9522
939
+ },
940
+ {
941
+ "epoch": 18.0,
942
+ "eval_exact_match": 17.0,
943
+ "eval_f1": 24.074487734487732,
944
+ "step": 9522
945
+ },
946
+ {
947
+ "epoch": 18.147448015122873,
948
+ "grad_norm": 2.0483736991882324,
949
+ "learning_rate": 5e-05,
950
+ "loss": 0.7048,
951
+ "step": 9600
952
+ },
953
+ {
954
+ "epoch": 18.33648393194707,
955
+ "grad_norm": 1.987457275390625,
956
+ "learning_rate": 5e-05,
957
+ "loss": 0.6863,
958
+ "step": 9700
959
+ },
960
+ {
961
+ "epoch": 18.525519848771268,
962
+ "grad_norm": 2.1744563579559326,
963
+ "learning_rate": 5e-05,
964
+ "loss": 0.7045,
965
+ "step": 9800
966
+ },
967
+ {
968
+ "epoch": 18.714555765595463,
969
+ "grad_norm": 1.9871633052825928,
970
+ "learning_rate": 5e-05,
971
+ "loss": 0.7076,
972
+ "step": 9900
973
+ },
974
+ {
975
+ "epoch": 18.90359168241966,
976
+ "grad_norm": 1.8895001411437988,
977
+ "learning_rate": 5e-05,
978
+ "loss": 0.7202,
979
+ "step": 10000
980
+ },
981
+ {
982
+ "epoch": 19.0,
983
+ "eval_accuracy": 0.5601538461538461,
984
+ "eval_loss": 2.5168700218200684,
985
+ "eval_runtime": 5.0434,
986
+ "eval_samples_per_second": 99.14,
987
+ "eval_steps_per_second": 12.492,
988
+ "step": 10051
989
+ },
990
+ {
991
+ "epoch": 19.0,
992
+ "eval_exact_match": 17.2,
993
+ "eval_f1": 24.260360750360757,
994
+ "step": 10051
995
+ },
996
+ {
997
+ "epoch": 19.092627599243855,
998
+ "grad_norm": 1.7914209365844727,
999
+ "learning_rate": 5e-05,
1000
+ "loss": 0.6728,
1001
+ "step": 10100
1002
+ },
1003
+ {
1004
+ "epoch": 19.281663516068054,
1005
+ "grad_norm": 2.198495388031006,
1006
+ "learning_rate": 5e-05,
1007
+ "loss": 0.6241,
1008
+ "step": 10200
1009
+ },
1010
+ {
1011
+ "epoch": 19.47069943289225,
1012
+ "grad_norm": 1.81365966796875,
1013
+ "learning_rate": 5e-05,
1014
+ "loss": 0.6558,
1015
+ "step": 10300
1016
+ },
1017
+ {
1018
+ "epoch": 19.659735349716446,
1019
+ "grad_norm": 1.6571800708770752,
1020
+ "learning_rate": 5e-05,
1021
+ "loss": 0.6652,
1022
+ "step": 10400
1023
+ },
1024
+ {
1025
+ "epoch": 19.84877126654064,
1026
+ "grad_norm": 1.6469954252243042,
1027
+ "learning_rate": 5e-05,
1028
+ "loss": 0.6637,
1029
+ "step": 10500
1030
+ },
1031
+ {
1032
+ "epoch": 20.0,
1033
+ "eval_accuracy": 0.5596410256410257,
1034
+ "eval_loss": 2.516073703765869,
1035
+ "eval_runtime": 5.8234,
1036
+ "eval_samples_per_second": 85.86,
1037
+ "eval_steps_per_second": 10.818,
1038
+ "step": 10580
1039
+ },
1040
+ {
1041
+ "epoch": 20.0,
1042
+ "eval_exact_match": 17.6,
1043
+ "eval_f1": 25.225079365079367,
1044
+ "step": 10580
1045
+ },
1046
+ {
1047
+ "epoch": 20.03780718336484,
1048
+ "grad_norm": 1.7114077806472778,
1049
+ "learning_rate": 5e-05,
1050
+ "loss": 0.66,
1051
+ "step": 10600
1052
+ },
1053
+ {
1054
+ "epoch": 20.226843100189036,
1055
+ "grad_norm": 1.9962202310562134,
1056
+ "learning_rate": 5e-05,
1057
+ "loss": 0.5938,
1058
+ "step": 10700
1059
+ },
1060
+ {
1061
+ "epoch": 20.415879017013232,
1062
+ "grad_norm": 2.397592067718506,
1063
+ "learning_rate": 5e-05,
1064
+ "loss": 0.6042,
1065
+ "step": 10800
1066
+ },
1067
+ {
1068
+ "epoch": 20.604914933837428,
1069
+ "grad_norm": 2.0724213123321533,
1070
+ "learning_rate": 5e-05,
1071
+ "loss": 0.6124,
1072
+ "step": 10900
1073
+ },
1074
+ {
1075
+ "epoch": 20.793950850661627,
1076
+ "grad_norm": 1.9385457038879395,
1077
+ "learning_rate": 5e-05,
1078
+ "loss": 0.6078,
1079
+ "step": 11000
1080
+ },
1081
+ {
1082
+ "epoch": 20.982986767485823,
1083
+ "grad_norm": 2.034963607788086,
1084
+ "learning_rate": 5e-05,
1085
+ "loss": 0.6257,
1086
+ "step": 11100
1087
+ },
1088
+ {
1089
+ "epoch": 21.0,
1090
+ "eval_accuracy": 0.5597948717948718,
1091
+ "eval_loss": 2.5497183799743652,
1092
+ "eval_runtime": 5.0442,
1093
+ "eval_samples_per_second": 99.123,
1094
+ "eval_steps_per_second": 12.489,
1095
+ "step": 11109
1096
+ },
1097
+ {
1098
+ "epoch": 21.0,
1099
+ "eval_exact_match": 17.4,
1100
+ "eval_f1": 24.755238095238095,
1101
+ "step": 11109
1102
+ },
1103
+ {
1104
+ "epoch": 21.17202268431002,
1105
+ "grad_norm": 1.9768177270889282,
1106
+ "learning_rate": 5e-05,
1107
+ "loss": 0.5458,
1108
+ "step": 11200
1109
+ },
1110
+ {
1111
+ "epoch": 21.361058601134214,
1112
+ "grad_norm": 2.14420747756958,
1113
+ "learning_rate": 5e-05,
1114
+ "loss": 0.558,
1115
+ "step": 11300
1116
+ },
1117
+ {
1118
+ "epoch": 21.550094517958414,
1119
+ "grad_norm": 2.5267951488494873,
1120
+ "learning_rate": 5e-05,
1121
+ "loss": 0.5646,
1122
+ "step": 11400
1123
+ },
1124
+ {
1125
+ "epoch": 21.73913043478261,
1126
+ "grad_norm": 2.114386558532715,
1127
+ "learning_rate": 5e-05,
1128
+ "loss": 0.572,
1129
+ "step": 11500
1130
+ },
1131
+ {
1132
+ "epoch": 21.928166351606805,
1133
+ "grad_norm": 2.424217700958252,
1134
+ "learning_rate": 5e-05,
1135
+ "loss": 0.5928,
1136
+ "step": 11600
1137
+ },
1138
+ {
1139
+ "epoch": 22.0,
1140
+ "eval_accuracy": 0.5593846153846154,
1141
+ "eval_loss": 2.579535722732544,
1142
+ "eval_runtime": 5.7849,
1143
+ "eval_samples_per_second": 86.433,
1144
+ "eval_steps_per_second": 10.89,
1145
+ "step": 11638
1146
+ },
1147
+ {
1148
+ "epoch": 22.0,
1149
+ "eval_exact_match": 16.8,
1150
+ "eval_f1": 23.666507936507937,
1151
+ "step": 11638
1152
+ },
1153
+ {
1154
+ "epoch": 22.117202268431,
1155
+ "grad_norm": 1.7813427448272705,
1156
+ "learning_rate": 5e-05,
1157
+ "loss": 0.5342,
1158
+ "step": 11700
1159
+ },
1160
+ {
1161
+ "epoch": 22.3062381852552,
1162
+ "grad_norm": 1.989479422569275,
1163
+ "learning_rate": 5e-05,
1164
+ "loss": 0.5157,
1165
+ "step": 11800
1166
+ },
1167
+ {
1168
+ "epoch": 22.495274102079396,
1169
+ "grad_norm": 1.9694567918777466,
1170
+ "learning_rate": 5e-05,
1171
+ "loss": 0.5236,
1172
+ "step": 11900
1173
+ },
1174
+ {
1175
+ "epoch": 22.68431001890359,
1176
+ "grad_norm": 2.0226142406463623,
1177
+ "learning_rate": 5e-05,
1178
+ "loss": 0.5315,
1179
+ "step": 12000
1180
+ },
1181
+ {
1182
+ "epoch": 22.873345935727787,
1183
+ "grad_norm": 2.0204625129699707,
1184
+ "learning_rate": 5e-05,
1185
+ "loss": 0.5378,
1186
+ "step": 12100
1187
+ },
1188
+ {
1189
+ "epoch": 23.0,
1190
+ "eval_accuracy": 0.558974358974359,
1191
+ "eval_loss": 2.5709009170532227,
1192
+ "eval_runtime": 5.0788,
1193
+ "eval_samples_per_second": 98.449,
1194
+ "eval_steps_per_second": 12.405,
1195
+ "step": 12167
1196
+ },
1197
+ {
1198
+ "epoch": 23.0,
1199
+ "eval_exact_match": 16.4,
1200
+ "eval_f1": 23.69809523809524,
1201
+ "step": 12167
1202
+ },
1203
+ {
1204
+ "epoch": 23.062381852551987,
1205
+ "grad_norm": 2.0633811950683594,
1206
+ "learning_rate": 5e-05,
1207
+ "loss": 0.5183,
1208
+ "step": 12200
1209
+ },
1210
+ {
1211
+ "epoch": 23.251417769376182,
1212
+ "grad_norm": 2.3566079139709473,
1213
+ "learning_rate": 5e-05,
1214
+ "loss": 0.4761,
1215
+ "step": 12300
1216
+ },
1217
+ {
1218
+ "epoch": 23.440453686200378,
1219
+ "grad_norm": 2.368450880050659,
1220
+ "learning_rate": 5e-05,
1221
+ "loss": 0.487,
1222
+ "step": 12400
1223
+ },
1224
+ {
1225
+ "epoch": 23.629489603024574,
1226
+ "grad_norm": 2.1096372604370117,
1227
+ "learning_rate": 5e-05,
1228
+ "loss": 0.4945,
1229
+ "step": 12500
1230
+ },
1231
+ {
1232
+ "epoch": 23.81852551984877,
1233
+ "grad_norm": 2.2136454582214355,
1234
+ "learning_rate": 5e-05,
1235
+ "loss": 0.5035,
1236
+ "step": 12600
1237
+ },
1238
+ {
1239
+ "epoch": 24.0,
1240
+ "eval_accuracy": 0.5586153846153846,
1241
+ "eval_loss": 2.5898056030273438,
1242
+ "eval_runtime": 5.7458,
1243
+ "eval_samples_per_second": 87.021,
1244
+ "eval_steps_per_second": 10.965,
1245
+ "step": 12696
1246
+ },
1247
+ {
1248
+ "epoch": 24.0,
1249
+ "eval_exact_match": 17.8,
1250
+ "eval_f1": 24.89603174603175,
1251
+ "step": 12696
1252
+ },
1253
+ {
1254
+ "epoch": 24.00756143667297,
1255
+ "grad_norm": 2.317958116531372,
1256
+ "learning_rate": 5e-05,
1257
+ "loss": 0.5106,
1258
+ "step": 12700
1259
+ },
1260
+ {
1261
+ "epoch": 24.196597353497165,
1262
+ "grad_norm": 2.0783536434173584,
1263
+ "learning_rate": 5e-05,
1264
+ "loss": 0.4404,
1265
+ "step": 12800
1266
+ },
1267
+ {
1268
+ "epoch": 24.38563327032136,
1269
+ "grad_norm": 2.322791337966919,
1270
+ "learning_rate": 5e-05,
1271
+ "loss": 0.452,
1272
+ "step": 12900
1273
+ },
1274
+ {
1275
+ "epoch": 24.574669187145556,
1276
+ "grad_norm": 1.9763044118881226,
1277
+ "learning_rate": 5e-05,
1278
+ "loss": 0.4617,
1279
+ "step": 13000
1280
+ },
1281
+ {
1282
+ "epoch": 24.763705103969755,
1283
+ "grad_norm": 2.462392568588257,
1284
+ "learning_rate": 5e-05,
1285
+ "loss": 0.4731,
1286
+ "step": 13100
1287
+ },
1288
+ {
1289
+ "epoch": 24.95274102079395,
1290
+ "grad_norm": 2.2400307655334473,
1291
+ "learning_rate": 5e-05,
1292
+ "loss": 0.4751,
1293
+ "step": 13200
1294
+ },
1295
+ {
1296
+ "epoch": 25.0,
1297
+ "eval_accuracy": 0.5594871794871795,
1298
+ "eval_loss": 2.611313581466675,
1299
+ "eval_runtime": 5.3564,
1300
+ "eval_samples_per_second": 93.346,
1301
+ "eval_steps_per_second": 11.762,
1302
+ "step": 13225
1303
+ },
1304
+ {
1305
+ "epoch": 25.0,
1306
+ "eval_exact_match": 15.8,
1307
+ "eval_f1": 22.969047619047625,
1308
+ "step": 13225
1309
+ },
1310
+ {
1311
+ "epoch": 25.141776937618147,
1312
+ "grad_norm": 2.0931668281555176,
1313
+ "learning_rate": 5e-05,
1314
+ "loss": 0.4299,
1315
+ "step": 13300
1316
+ },
1317
+ {
1318
+ "epoch": 25.330812854442343,
1319
+ "grad_norm": 2.7056140899658203,
1320
+ "learning_rate": 5e-05,
1321
+ "loss": 0.422,
1322
+ "step": 13400
1323
+ },
1324
+ {
1325
+ "epoch": 25.519848771266542,
1326
+ "grad_norm": 1.9907532930374146,
1327
+ "learning_rate": 5e-05,
1328
+ "loss": 0.4374,
1329
+ "step": 13500
1330
+ },
1331
+ {
1332
+ "epoch": 25.708884688090738,
1333
+ "grad_norm": 2.3209221363067627,
1334
+ "learning_rate": 5e-05,
1335
+ "loss": 0.4376,
1336
+ "step": 13600
1337
+ },
1338
+ {
1339
+ "epoch": 25.897920604914933,
1340
+ "grad_norm": 3.2339212894439697,
1341
+ "learning_rate": 5e-05,
1342
+ "loss": 0.4432,
1343
+ "step": 13700
1344
+ },
1345
+ {
1346
+ "epoch": 26.0,
1347
+ "eval_accuracy": 0.5602051282051282,
1348
+ "eval_loss": 2.6182327270507812,
1349
+ "eval_runtime": 5.0321,
1350
+ "eval_samples_per_second": 99.362,
1351
+ "eval_steps_per_second": 12.52,
1352
+ "step": 13754
1353
+ },
1354
+ {
1355
+ "epoch": 26.0,
1356
+ "eval_exact_match": 15.4,
1357
+ "eval_f1": 23.059047619047618,
1358
+ "step": 13754
1359
+ },
1360
+ {
1361
+ "epoch": 26.08695652173913,
1362
+ "grad_norm": 1.9935250282287598,
1363
+ "learning_rate": 5e-05,
1364
+ "loss": 0.4265,
1365
+ "step": 13800
1366
+ },
1367
+ {
1368
+ "epoch": 26.27599243856333,
1369
+ "grad_norm": 2.5698649883270264,
1370
+ "learning_rate": 5e-05,
1371
+ "loss": 0.3949,
1372
+ "step": 13900
1373
+ },
1374
+ {
1375
+ "epoch": 26.465028355387524,
1376
+ "grad_norm": 2.568392038345337,
1377
+ "learning_rate": 5e-05,
1378
+ "loss": 0.4041,
1379
+ "step": 14000
1380
+ },
1381
+ {
1382
+ "epoch": 26.65406427221172,
1383
+ "grad_norm": 2.094651699066162,
1384
+ "learning_rate": 5e-05,
1385
+ "loss": 0.4128,
1386
+ "step": 14100
1387
+ },
1388
+ {
1389
+ "epoch": 26.843100189035916,
1390
+ "grad_norm": 2.240649700164795,
1391
+ "learning_rate": 5e-05,
1392
+ "loss": 0.4191,
1393
+ "step": 14200
1394
+ },
1395
+ {
1396
+ "epoch": 27.0,
1397
+ "eval_accuracy": 0.56,
1398
+ "eval_loss": 2.614851951599121,
1399
+ "eval_runtime": 5.636,
1400
+ "eval_samples_per_second": 88.715,
1401
+ "eval_steps_per_second": 11.178,
1402
+ "step": 14283
1403
+ },
1404
+ {
1405
+ "epoch": 27.0,
1406
+ "eval_exact_match": 17.2,
1407
+ "eval_f1": 24.941948051948046,
1408
+ "step": 14283
1409
+ },
1410
+ {
1411
+ "epoch": 27.032136105860115,
1412
+ "grad_norm": 1.8800567388534546,
1413
+ "learning_rate": 5e-05,
1414
+ "loss": 0.4135,
1415
+ "step": 14300
1416
+ },
1417
+ {
1418
+ "epoch": 27.22117202268431,
1419
+ "grad_norm": 2.525048017501831,
1420
+ "learning_rate": 5e-05,
1421
+ "loss": 0.3717,
1422
+ "step": 14400
1423
+ },
1424
+ {
1425
+ "epoch": 27.410207939508506,
1426
+ "grad_norm": 2.3803513050079346,
1427
+ "learning_rate": 5e-05,
1428
+ "loss": 0.3817,
1429
+ "step": 14500
1430
+ },
1431
+ {
1432
+ "epoch": 27.599243856332702,
1433
+ "grad_norm": 2.369356155395508,
1434
+ "learning_rate": 5e-05,
1435
+ "loss": 0.388,
1436
+ "step": 14600
1437
+ },
1438
+ {
1439
+ "epoch": 27.7882797731569,
1440
+ "grad_norm": 2.701702356338501,
1441
+ "learning_rate": 5e-05,
1442
+ "loss": 0.3943,
1443
+ "step": 14700
1444
+ },
1445
+ {
1446
+ "epoch": 27.977315689981097,
1447
+ "grad_norm": 2.2755825519561768,
1448
+ "learning_rate": 5e-05,
1449
+ "loss": 0.4015,
1450
+ "step": 14800
1451
+ },
1452
+ {
1453
+ "epoch": 28.0,
1454
+ "eval_accuracy": 0.5592820512820513,
1455
+ "eval_loss": 2.653672218322754,
1456
+ "eval_runtime": 5.3543,
1457
+ "eval_samples_per_second": 93.383,
1458
+ "eval_steps_per_second": 11.766,
1459
+ "step": 14812
1460
+ },
1461
+ {
1462
+ "epoch": 28.0,
1463
+ "eval_exact_match": 17.4,
1464
+ "eval_f1": 24.478888888888893,
1465
+ "step": 14812
1466
+ },
1467
+ {
1468
+ "epoch": 28.166351606805293,
1469
+ "grad_norm": 2.0458974838256836,
1470
+ "learning_rate": 5e-05,
1471
+ "loss": 0.3566,
1472
+ "step": 14900
1473
+ },
1474
+ {
1475
+ "epoch": 28.35538752362949,
1476
+ "grad_norm": 2.040117025375366,
1477
+ "learning_rate": 5e-05,
1478
+ "loss": 0.3602,
1479
+ "step": 15000
1480
+ },
1481
+ {
1482
+ "epoch": 28.544423440453688,
1483
+ "grad_norm": 1.947757363319397,
1484
+ "learning_rate": 5e-05,
1485
+ "loss": 0.3666,
1486
+ "step": 15100
1487
+ },
1488
+ {
1489
+ "epoch": 28.733459357277884,
1490
+ "grad_norm": 2.0905520915985107,
1491
+ "learning_rate": 5e-05,
1492
+ "loss": 0.3747,
1493
+ "step": 15200
1494
+ },
1495
+ {
1496
+ "epoch": 28.92249527410208,
1497
+ "grad_norm": 2.215851306915283,
1498
+ "learning_rate": 5e-05,
1499
+ "loss": 0.3798,
1500
+ "step": 15300
1501
+ },
1502
+ {
1503
+ "epoch": 29.0,
1504
+ "eval_accuracy": 0.5600512820512821,
1505
+ "eval_loss": 2.6304192543029785,
1506
+ "eval_runtime": 5.0359,
1507
+ "eval_samples_per_second": 99.288,
1508
+ "eval_steps_per_second": 12.51,
1509
+ "step": 15341
1510
+ },
1511
+ {
1512
+ "epoch": 29.0,
1513
+ "eval_exact_match": 16.2,
1514
+ "eval_f1": 23.909062049062054,
1515
+ "step": 15341
1516
+ },
1517
+ {
1518
+ "epoch": 29.111531190926275,
1519
+ "grad_norm": 2.5050926208496094,
1520
+ "learning_rate": 5e-05,
1521
+ "loss": 0.3538,
1522
+ "step": 15400
1523
+ },
1524
+ {
1525
+ "epoch": 29.300567107750474,
1526
+ "grad_norm": 2.0059566497802734,
1527
+ "learning_rate": 5e-05,
1528
+ "loss": 0.3365,
1529
+ "step": 15500
1530
+ },
1531
+ {
1532
+ "epoch": 29.48960302457467,
1533
+ "grad_norm": 2.7678000926971436,
1534
+ "learning_rate": 5e-05,
1535
+ "loss": 0.3523,
1536
+ "step": 15600
1537
+ },
1538
+ {
1539
+ "epoch": 29.678638941398866,
1540
+ "grad_norm": 2.6234450340270996,
1541
+ "learning_rate": 5e-05,
1542
+ "loss": 0.3552,
1543
+ "step": 15700
1544
+ },
1545
+ {
1546
+ "epoch": 29.86767485822306,
1547
+ "grad_norm": 1.9958972930908203,
1548
+ "learning_rate": 5e-05,
1549
+ "loss": 0.3629,
1550
+ "step": 15800
1551
+ },
1552
+ {
1553
+ "epoch": 30.0,
1554
+ "eval_accuracy": 0.56,
1555
+ "eval_loss": 2.6483516693115234,
1556
+ "eval_runtime": 5.0621,
1557
+ "eval_samples_per_second": 98.774,
1558
+ "eval_steps_per_second": 12.446,
1559
+ "step": 15870
1560
+ },
1561
+ {
1562
+ "epoch": 30.0,
1563
+ "eval_exact_match": 16.4,
1564
+ "eval_f1": 24.021746031746037,
1565
+ "step": 15870
1566
+ },
1567
+ {
1568
+ "epoch": 30.056710775047257,
1569
+ "grad_norm": 2.5568833351135254,
1570
+ "learning_rate": 5e-05,
1571
+ "loss": 0.3505,
1572
+ "step": 15900
1573
+ },
1574
+ {
1575
+ "epoch": 30.245746691871457,
1576
+ "grad_norm": 2.0313165187835693,
1577
+ "learning_rate": 5e-05,
1578
+ "loss": 0.3252,
1579
+ "step": 16000
1580
+ },
1581
+ {
1582
+ "epoch": 30.434782608695652,
1583
+ "grad_norm": 1.8152469396591187,
1584
+ "learning_rate": 5e-05,
1585
+ "loss": 0.335,
1586
+ "step": 16100
1587
+ },
1588
+ {
1589
+ "epoch": 30.623818525519848,
1590
+ "grad_norm": 2.0004210472106934,
1591
+ "learning_rate": 5e-05,
1592
+ "loss": 0.34,
1593
+ "step": 16200
1594
+ },
1595
+ {
1596
+ "epoch": 30.812854442344044,
1597
+ "grad_norm": 2.3558757305145264,
1598
+ "learning_rate": 5e-05,
1599
+ "loss": 0.3474,
1600
+ "step": 16300
1601
+ },
1602
+ {
1603
+ "epoch": 31.0,
1604
+ "eval_accuracy": 0.5605641025641026,
1605
+ "eval_loss": 2.6599507331848145,
1606
+ "eval_runtime": 5.3592,
1607
+ "eval_samples_per_second": 93.297,
1608
+ "eval_steps_per_second": 11.755,
1609
+ "step": 16399
1610
+ },
1611
+ {
1612
+ "epoch": 31.0,
1613
+ "eval_exact_match": 16.8,
1614
+ "eval_f1": 23.902857142857147,
1615
+ "step": 16399
1616
+ },
1617
+ {
1618
+ "epoch": 31.001890359168243,
1619
+ "grad_norm": 1.641440749168396,
1620
+ "learning_rate": 5e-05,
1621
+ "loss": 0.3478,
1622
+ "step": 16400
1623
+ },
1624
+ {
1625
+ "epoch": 31.19092627599244,
1626
+ "grad_norm": 2.425560712814331,
1627
+ "learning_rate": 5e-05,
1628
+ "loss": 0.3067,
1629
+ "step": 16500
1630
+ },
1631
+ {
1632
+ "epoch": 31.379962192816635,
1633
+ "grad_norm": 1.850221872329712,
1634
+ "learning_rate": 5e-05,
1635
+ "loss": 0.3202,
1636
+ "step": 16600
1637
+ },
1638
+ {
1639
+ "epoch": 31.56899810964083,
1640
+ "grad_norm": 1.4244951009750366,
1641
+ "learning_rate": 5e-05,
1642
+ "loss": 0.3301,
1643
+ "step": 16700
1644
+ },
1645
+ {
1646
+ "epoch": 31.75803402646503,
1647
+ "grad_norm": 2.093834638595581,
1648
+ "learning_rate": 5e-05,
1649
+ "loss": 0.3293,
1650
+ "step": 16800
1651
+ },
1652
+ {
1653
+ "epoch": 31.947069943289225,
1654
+ "grad_norm": 2.0703086853027344,
1655
+ "learning_rate": 5e-05,
1656
+ "loss": 0.3369,
1657
+ "step": 16900
1658
+ },
1659
+ {
1660
+ "epoch": 32.0,
1661
+ "eval_accuracy": 0.5597435897435897,
1662
+ "eval_loss": 2.6675195693969727,
1663
+ "eval_runtime": 5.1201,
1664
+ "eval_samples_per_second": 97.655,
1665
+ "eval_steps_per_second": 12.305,
1666
+ "step": 16928
1667
+ },
1668
+ {
1669
+ "epoch": 32.0,
1670
+ "eval_exact_match": 15.6,
1671
+ "eval_f1": 22.95126984126984,
1672
+ "step": 16928
1673
+ },
1674
+ {
1675
+ "epoch": 32.136105860113425,
1676
+ "grad_norm": 2.0121419429779053,
1677
+ "learning_rate": 5e-05,
1678
+ "loss": 0.3134,
1679
+ "step": 17000
1680
+ },
1681
+ {
1682
+ "epoch": 32.32514177693762,
1683
+ "grad_norm": 1.8783822059631348,
1684
+ "learning_rate": 5e-05,
1685
+ "loss": 0.3102,
1686
+ "step": 17100
1687
+ },
1688
+ {
1689
+ "epoch": 32.514177693761816,
1690
+ "grad_norm": 1.5319064855575562,
1691
+ "learning_rate": 5e-05,
1692
+ "loss": 0.3089,
1693
+ "step": 17200
1694
+ },
1695
+ {
1696
+ "epoch": 32.70321361058601,
1697
+ "grad_norm": 2.6580235958099365,
1698
+ "learning_rate": 5e-05,
1699
+ "loss": 0.3175,
1700
+ "step": 17300
1701
+ },
1702
+ {
1703
+ "epoch": 32.89224952741021,
1704
+ "grad_norm": 2.121335744857788,
1705
+ "learning_rate": 5e-05,
1706
+ "loss": 0.3275,
1707
+ "step": 17400
1708
+ },
1709
+ {
1710
+ "epoch": 33.0,
1711
+ "eval_accuracy": 0.5603589743589743,
1712
+ "eval_loss": 2.658357858657837,
1713
+ "eval_runtime": 5.4806,
1714
+ "eval_samples_per_second": 91.231,
1715
+ "eval_steps_per_second": 11.495,
1716
+ "step": 17457
1717
+ },
1718
+ {
1719
+ "epoch": 33.0,
1720
+ "eval_exact_match": 16.4,
1721
+ "eval_f1": 24.0452380952381,
1722
+ "step": 17457
1723
+ },
1724
+ {
1725
+ "epoch": 33.0812854442344,
1726
+ "grad_norm": 2.1282331943511963,
1727
+ "learning_rate": 5e-05,
1728
+ "loss": 0.311,
1729
+ "step": 17500
1730
+ },
1731
+ {
1732
+ "epoch": 33.2703213610586,
1733
+ "grad_norm": 2.212125062942505,
1734
+ "learning_rate": 5e-05,
1735
+ "loss": 0.2951,
1736
+ "step": 17600
1737
+ },
1738
+ {
1739
+ "epoch": 33.459357277882795,
1740
+ "grad_norm": 3.389835834503174,
1741
+ "learning_rate": 5e-05,
1742
+ "loss": 0.3068,
1743
+ "step": 17700
1744
+ },
1745
+ {
1746
+ "epoch": 33.648393194707,
1747
+ "grad_norm": 1.812578558921814,
1748
+ "learning_rate": 5e-05,
1749
+ "loss": 0.3091,
1750
+ "step": 17800
1751
+ },
1752
+ {
1753
+ "epoch": 33.83742911153119,
1754
+ "grad_norm": 2.434966802597046,
1755
+ "learning_rate": 5e-05,
1756
+ "loss": 0.311,
1757
+ "step": 17900
1758
+ },
1759
+ {
1760
+ "epoch": 34.0,
1761
+ "eval_accuracy": 0.5600512820512821,
1762
+ "eval_loss": 2.676753520965576,
1763
+ "eval_runtime": 5.3579,
1764
+ "eval_samples_per_second": 93.32,
1765
+ "eval_steps_per_second": 11.758,
1766
+ "step": 17986
1767
+ },
1768
+ {
1769
+ "epoch": 34.0,
1770
+ "eval_exact_match": 16.6,
1771
+ "eval_f1": 24.913650793650795,
1772
+ "step": 17986
1773
+ }
1774
+ ],
1775
+ "logging_steps": 100,
1776
+ "max_steps": 26450,
1777
+ "num_input_tokens_seen": 0,
1778
+ "num_train_epochs": 50,
1779
+ "save_steps": 500,
1780
+ "stateful_callbacks": {
1781
+ "TrainerControl": {
1782
+ "args": {
1783
+ "should_epoch_stop": false,
1784
+ "should_evaluate": false,
1785
+ "should_log": false,
1786
+ "should_save": true,
1787
+ "should_training_stop": false
1788
+ },
1789
+ "attributes": {}
1790
+ }
1791
+ },
1792
+ "total_flos": 1.1079956275994296e+18,
1793
+ "train_batch_size": 1,
1794
+ "trial_name": null,
1795
+ "trial_params": null
1796
+ }
checkpoint-17986/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f01d18f717251d8791982fc93ed5352f2d247add98e1102e2a52cc0a32128bb7
3
+ size 5304
checkpoint-17986/vocab.json ADDED
The diff for this file is too large to render. See raw diff