metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MTSUSpring2025SoftwareEngineering
results: []
MTSUSpring2025SoftwareEngineering
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1089
- Rouge1: 0.3231
- Rouge2: 0.2685
- Rougel: 0.313
- Rougelsum: 0.313
- Gen Len: 19.8572
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: 0.0002
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4692 | 1.0 | 14778 | 1.3005 | 0.3197 | 0.2609 | 0.3087 | 0.3087 | 19.8338 |
| 1.3442 | 2.0 | 29556 | 1.2153 | 0.321 | 0.2648 | 0.3108 | 0.3108 | 19.8476 |
| 1.2638 | 3.0 | 44334 | 1.1495 | 0.3214 | 0.2659 | 0.3112 | 0.3112 | 19.8867 |
| 1.2194 | 4.0 | 59112 | 1.1216 | 0.323 | 0.2682 | 0.3131 | 0.3131 | 19.8804 |
| 1.1679 | 5.0 | 73890 | 1.1089 | 0.3231 | 0.2685 | 0.313 | 0.313 | 19.8572 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1