End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_awesome_billsum_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. -->
+
+# my_awesome_billsum_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: 2.5102
+- Rouge1: 0.1383
+- Rouge2: 0.0486
+- Rougel: 0.1139
+- Rougelsum: 0.1136
+- 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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   | 62   | 2.8061          | 0.1294 | 0.0405 | 0.1089 | 0.1086    | 19.0    |
+| No log        | 2.0   | 124  | 2.5896          | 0.14   | 0.0514 | 0.1178 | 0.1174    | 19.0    |
+| No log        | 3.0   | 186  | 2.5273          | 0.1394 | 0.0494 | 0.1143 | 0.1141    | 19.0    |
+| No log        | 4.0   | 248  | 2.5102          | 0.1383 | 0.0486 | 0.1139 | 0.1136    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.0
+- Datasets 3.0.2
+- Tokenizers 0.20.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.1"
+}