End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-billsum
+  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. -->
+
+# t5-small-finetuned-billsum
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3166
+- Rouge1: 58.6163
+- Rouge2: 41.6107
+- Rougel: 51.5177
+- Rougelsum: 52.8486
+- Gen Len: 62.2894
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.5373        | 0.4219 | 500  | 1.7306          | 44.8884 | 29.9047 | 38.8732 | 39.7098   | 49.8626 |
+| 1.8175        | 0.8439 | 1000 | 1.5164          | 53.4663 | 36.8936 | 46.4756 | 47.6133   | 57.6953 |
+| 1.6775        | 1.2658 | 1500 | 1.4401          | 55.9549 | 38.7969 | 48.6918 | 49.9216   | 60.5867 |
+| 1.6           | 1.6878 | 2000 | 1.4016          | 56.8423 | 39.5972 | 49.5877 | 50.8088   | 61.5580 |
+| 1.5717        | 2.1097 | 2500 | 1.3736          | 57.4282 | 40.2126 | 50.1498 | 51.3818   | 61.9033 |
+| 1.5389        | 2.5316 | 3000 | 1.3570          | 57.6909 | 40.5046 | 50.4987 | 51.7769   | 62.0116 |
+| 1.5183        | 2.9536 | 3500 | 1.3426          | 58.2372 | 41.1473 | 51.0517 | 52.3423   | 62.1297 |
+| 1.499         | 3.3755 | 4000 | 1.3310          | 58.326  | 41.2564 | 51.1817 | 52.4513   | 62.2423 |
+| 1.4845        | 3.7975 | 4500 | 1.3232          | 58.4925 | 41.5426 | 51.3865 | 52.6942   | 62.2276 |
+| 1.4888        | 4.2194 | 5000 | 1.3203          | 58.5475 | 41.5865 | 51.4574 | 52.791    | 62.2710 |
+| 1.48          | 4.6414 | 5500 | 1.3166          | 58.6163 | 41.6107 | 51.5177 | 52.8486   | 62.2894 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.4"
+}

model.safetensors

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+oid sha256:ddd099ab478f82f733d9c0e1c74b6b904d35512028b44af158bfd476d9f921f6
 size 242041896