codet5-small-ft-v8-cpatd
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4831
- Rouge1: 63.6456
- Rouge2: 52.7919
- Rougel: 63.1978
- Rougelsum: 63.2113
- Gen Len: 17.0514
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.6958 | 1.0 | 3063 | 0.5815 | 61.3112 | 50.8406 | 60.8334 | 60.8509 | 17.2215 |
| 0.6116 | 2.0 | 6126 | 0.5190 | 62.7088 | 51.7838 | 62.2533 | 62.2661 | 17.0108 |
| 0.5564 | 3.0 | 9189 | 0.4942 | 63.4158 | 52.592 | 62.9418 | 62.9443 | 17.1236 |
| 0.5447 | 4.0 | 12252 | 0.4831 | 63.6456 | 52.7919 | 63.1978 | 63.2113 | 17.0514 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0