Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-question-answer-template
+  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-question-answer-template
+
+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: 1.0208
+- Rouge1: 49.8326
+- Rouge2: 35.7019
+- Rougel: 44.4145
+- Rougelsum: 45.2499
+- Gen Len: 14.1923
+
+## 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
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 15   | 1.5963          | 58.8562 | 38.9584 | 48.2008 | 48.5713   | 12.7308 |
+| No log        | 2.0   | 30   | 1.3353          | 55.6401 | 37.5317 | 46.5716 | 47.3352   | 12.8846 |
+| No log        | 3.0   | 45   | 1.1562          | 46.9796 | 32.0954 | 40.5538 | 41.5263   | 14.5    |
+| No log        | 4.0   | 60   | 1.0563          | 49.8326 | 35.7019 | 44.4145 | 45.2499   | 14.1923 |
+| No log        | 5.0   | 75   | 1.0208          | 49.8326 | 35.7019 | 44.4145 | 45.2499   | 14.1923 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cpu
+- Datasets 3.0.1
+- 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": "4.45.2"
+}