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: MTSUSpring2025SoftwareEngineering
+  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. -->
+
+# MTSUSpring2025SoftwareEngineering
+
+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: 1.4609
+- Rouge1: 0.2922
+- Rouge2: 0.2362
+- Rougel: 0.282
+- Rougelsum: 0.282
+- Gen Len: 19.951
+
+## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.8149        | 1.0   | 12429 | 1.6198          | 0.2838 | 0.2222 | 0.2726 | 0.2726    | 19.9612 |
+| 1.7131        | 2.0   | 24858 | 1.5410          | 0.2874 | 0.2291 | 0.2768 | 0.2767    | 19.9596 |
+| 1.6671        | 3.0   | 37287 | 1.5011          | 0.2892 | 0.2316 | 0.2787 | 0.2787    | 19.9572 |
+| 1.6542        | 4.0   | 49716 | 1.4750          | 0.291  | 0.2349 | 0.2809 | 0.2808    | 19.9496 |
+| 1.6116        | 5.0   | 62145 | 1.4636          | 0.292  | 0.236  | 0.2818 | 0.2818    | 19.9516 |
+| 1.6247        | 6.0   | 74574 | 1.4609          | 0.2922 | 0.2362 | 0.282  | 0.282     | 19.951  |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.48.3"
+}

runs/Feb21_07-29-47_a50bffe4427b/events.out.tfevents.1740122988.a50bffe4427b.9346.0

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