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: TokenizerTestingMTSUFall2024SoftwareEngineering
+  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. -->
+
+# TokenizerTestingMTSUFall2024SoftwareEngineering
+
+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: 1.5834
+- Rouge1: 0.2719
+- Rouge2: 0.2175
+- Rougel: 0.2629
+- Rougelsum: 0.2629
+- Gen Len: 18.9753
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.8415        | 1.0   | 12975 | 1.6850          | 0.2704 | 0.2117 | 0.2604 | 0.2604    | 18.9826 |
+| 1.7849        | 2.0   | 25950 | 1.6190          | 0.2713 | 0.2159 | 0.2621 | 0.262     | 18.9747 |
+| 1.7692        | 3.0   | 38925 | 1.5916          | 0.2718 | 0.2172 | 0.2628 | 0.2627    | 18.9762 |
+| 1.74          | 4.0   | 51900 | 1.5834          | 0.2719 | 0.2175 | 0.2629 | 0.2629    | 18.9753 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- 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": "4.44.2"
+}