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: 1.4293
- Rouge1: 0.0827
- Rouge2: 0.0661
- Rougel: 0.0799
- Rougelsum: 0.0799
- Gen Len: 6.8285
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: 3e-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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.7038 | 1.0 | 14778 | 1.5115 | 0.0881 | 0.0694 | 0.0848 | 0.0849 | 7.1571 |
| 1.6169 | 2.0 | 29556 | 1.4481 | 0.0853 | 0.0679 | 0.0823 | 0.0824 | 6.984 |
| 1.5833 | 3.0 | 44334 | 1.4293 | 0.0827 | 0.0661 | 0.0799 | 0.0799 | 6.8285 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1