End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_awesome_law_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/klenamdroefenu-kwame-nkrumah-university-of-science-and-t/huggingface/runs/r1syibf4)
+# my_awesome_law_model
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2170
+- Rouge1: 0.1575
+- Rouge2: 0.0733
+- Rougel: 0.135
+- Rougelsum: 0.135
+- Gen Len: 19.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 389  | 2.2997          | 0.1558 | 0.0713 | 0.1334 | 0.1333    | 19.0    |
+| 2.6025        | 2.0   | 778  | 2.2468          | 0.1571 | 0.0729 | 0.1344 | 0.1343    | 19.0    |
+| 2.3823        | 3.0   | 1167 | 2.2222          | 0.157  | 0.0731 | 0.1346 | 0.1345    | 19.0    |
+| 2.3471        | 4.0   | 1556 | 2.2170          | 0.1575 | 0.0733 | 0.135  | 0.135     | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.3"
+}

runs/Aug01_14-16-31_832585d7f376/events.out.tfevents.1722521792.832585d7f376.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56c5aaab16956bd8125b7662b70a388f2b9188a97f4c2bfbdc36763aac957f34
-size 8056
+oid sha256:bd2ff4eca00c22bf642abf622f2c25e9fb0b203f130eafea18f9cd988753d959
+size 8935