codet5-small-v7
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: 0.1864
- Bleu Score: 0.0003
- Gen Len: 16.1424
Model description
Trained:
- dataset: chathuranga-jayanath/context-5-for-finetune-finmath-times4j
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: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|---|---|---|---|---|---|
| 0.139 | 1.0 | 9683 | 0.1882 | 0.0003 | 16.1271 |
| 0.0985 | 2.0 | 19366 | 0.1854 | 0.0003 | 16.1461 |
| 0.0848 | 3.0 | 29049 | 0.1864 | 0.0003 | 16.1424 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
Salesforce/codet5-small