End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+datasets:
+- billsum
+metrics:
+- rouge
+model-index:
+- name: t5_billsum_finetune
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: billsum
+      type: billsum
+      config: default
+      split: ca_test
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.1926
+---
+
+<!-- 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. -->
+
+# t5_billsum_finetune
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0955
+- Rouge1: 0.1926
+- Rouge2: 0.0931
+- Rougel: 0.163
+- Rougelsum: 0.1635
+- 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- 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   | 248  | 2.1016          | 0.1917 | 0.0928 | 0.1624 | 0.1628    | 19.0    |
+| No log        | 2.0   | 496  | 2.0985          | 0.1931 | 0.0936 | 0.1635 | 0.1639    | 19.0    |
+| 1.9507        | 3.0   | 744  | 2.0981          | 0.1926 | 0.0938 | 0.1633 | 0.1637    | 19.0    |
+| 1.9507        | 4.0   | 992  | 2.0955          | 0.1926 | 0.0931 | 0.163  | 0.1635    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.0"
+}

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