codeT5p-770m-fine-tuned
This model is a fine-tuned version of Salesforce/codet5p-770m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7420
- Bleu Score: 25.7016
- Exact Match Precision: 46.271
- Gen Len: 13.4614
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Exact Match Precision | Gen Len |
|---|---|---|---|---|---|---|
| 0.5824 | 1.0 | 9064 | 0.7420 | 25.7016 | 46.271 | 13.4614 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1
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Model tree for DanCip/codeT5p-770m-fine-tuned
Base model
Salesforce/codet5p-770m