Model save

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: TennesseeLegislationBillSummarizer
+  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. -->
+
+# TennesseeLegislationBillSummarizer
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9393
+- Rouge1: 0.5251
+- Rouge2: 0.4185
+- Rougel: 0.4987
+- Rougelsum: 0.4987
+- Gen Len: 19.6969
+
+## 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: 4
+- eval_batch_size: 4
+- 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.1485        | 1.0   | 15881 | 1.0192          | 0.5167 | 0.4071 | 0.4899 | 0.49      | 19.7533 |
+| 1.0839        | 2.0   | 31762 | 0.9754          | 0.5185 | 0.4101 | 0.4918 | 0.4919    | 19.7608 |
+| 1.0474        | 3.0   | 47643 | 0.9542          | 0.5228 | 0.4151 | 0.4961 | 0.4961    | 19.7375 |
+| 1.0541        | 4.0   | 63524 | 0.9428          | 0.5247 | 0.4177 | 0.4981 | 0.4982    | 19.7032 |
+| 1.0252        | 5.0   | 79405 | 0.9393          | 0.5251 | 0.4185 | 0.4987 | 0.4987    | 19.6969 |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

runs/Nov18_17-03-48_dd086913b758/events.out.tfevents.1763485447.dd086913b758.631.1

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