Model save

README.md

@@ -0,0 +1,73 @@
+---
+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: 1.2226
+- Rouge1: 0.0823
+- Rouge2: 0.0672
+- Rougel: 0.0799
+- Rougelsum: 0.0798
+- Gen Len: 6.8086
+
+## 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: 5e-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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6211        | 1.0   | 14778  | 1.4386          | 0.086  | 0.0686 | 0.0831 | 0.0831    | 7.0473  |
+| 1.5116        | 2.0   | 29556  | 1.3540          | 0.0836 | 0.0677 | 0.0811 | 0.0811    | 6.9131  |
+| 1.4459        | 3.0   | 44334  | 1.3019          | 0.0874 | 0.0708 | 0.0847 | 0.0846    | 7.1384  |
+| 1.42          | 4.0   | 59112  | 1.2729          | 0.0843 | 0.0687 | 0.0818 | 0.0817    | 6.9433  |
+| 1.3683        | 5.0   | 73890  | 1.2490          | 0.0838 | 0.0684 | 0.0814 | 0.0812    | 6.916   |
+| 1.3589        | 6.0   | 88668  | 1.2357          | 0.0847 | 0.0692 | 0.0822 | 0.0821    | 6.995   |
+| 1.353         | 7.0   | 103446 | 1.2245          | 0.0825 | 0.0673 | 0.08   | 0.0799    | 6.8302  |
+| 1.3506        | 8.0   | 118224 | 1.2226          | 0.0823 | 0.0672 | 0.0799 | 0.0798    | 6.8086  |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.49.0"
+}

runs/Mar23_18-33-50_5500dddb8050/events.out.tfevents.1742754831.5500dddb8050.3997.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d5ff2f828063af8a8e937c230ed7549f7952e781aeb72081d52c8bc77811e05f
-size 60523
+oid sha256:67189e1564dbcba997bd5231485c3a60070c80318218e65d4495614d2416e932
+size 61418