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: google-t5-small-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. -->
+
+# google-t5-small-billsum
+
+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: 2.3195
+- Rouge1: 0.205
+- Rouge2: 0.0994
+- Rougel: 0.1708
+- Rougelsum: 0.1704
+- Gen Len: 20.0
+
+## 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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 62   | 2.7672          | 0.139  | 0.0457 | 0.114  | 0.1141    | 20.0    |
+| No log        | 2.0   | 124  | 2.5470          | 0.148  | 0.0535 | 0.121  | 0.1209    | 20.0    |
+| No log        | 3.0   | 186  | 2.4587          | 0.16   | 0.0645 | 0.1316 | 0.1311    | 20.0    |
+| No log        | 4.0   | 248  | 2.4068          | 0.1849 | 0.0833 | 0.1541 | 0.1541    | 20.0    |
+| No log        | 5.0   | 310  | 2.3747          | 0.1994 | 0.0945 | 0.1666 | 0.1663    | 20.0    |
+| No log        | 6.0   | 372  | 2.3537          | 0.2032 | 0.0976 | 0.1686 | 0.1683    | 20.0    |
+| No log        | 7.0   | 434  | 2.3364          | 0.203  | 0.0973 | 0.1694 | 0.169     | 20.0    |
+| No log        | 8.0   | 496  | 2.3259          | 0.2045 | 0.0984 | 0.1704 | 0.1701    | 20.0    |
+| 2.7564        | 9.0   | 558  | 2.3217          | 0.2052 | 0.0997 | 0.1709 | 0.1704    | 20.0    |
+| 2.7564        | 10.0  | 620  | 2.3195          | 0.205  | 0.0994 | 0.1708 | 0.1704    | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.55.4"
+}