metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MTSUFall2024SoftwareEngineering
results: []
MTSUFall2024SoftwareEngineering
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: 2.0628
- Rouge1: 0.2406
- Rouge2: 0.187
- Rougel: 0.2337
- Rougelsum: 0.2336
- Gen Len: 18.9969
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: 14
- eval_batch_size: 14
- 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 |
|---|---|---|---|---|---|---|---|---|
| 2.8688 | 1.0 | 748 | 2.1863 | 0.2392 | 0.1855 | 0.232 | 0.2319 | 18.9985 |
| 2.4032 | 2.0 | 1496 | 2.1045 | 0.2387 | 0.1869 | 0.232 | 0.232 | 18.9973 |
| 2.3034 | 3.0 | 2244 | 2.0720 | 0.239 | 0.1869 | 0.2324 | 0.2323 | 18.9969 |
| 2.2666 | 4.0 | 2992 | 2.0628 | 0.2406 | 0.187 | 0.2337 | 0.2336 | 18.9969 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1