codet5-small-v33
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: 0.1783
- Bleu Score: 0.0008
- Gen Len: 13.3646
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: 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 |
|---|---|---|---|---|---|
| 0.2713 | 1.0 | 3849 | 0.2147 | 0.0008 | 13.3086 |
| 0.2119 | 2.0 | 7698 | 0.1852 | 0.0008 | 13.3657 |
| 0.1962 | 3.0 | 11547 | 0.1783 | 0.0008 | 13.3646 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for chathuranga-jayanath/codet5-small-v33
Base model
Salesforce/codet5-small