| --- |
| library_name: transformers |
| license: bsd-3-clause |
| base_model: Salesforce/codet5p-220m |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: CodeT5p-ModelPhase2-01072025 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # CodeT5p-ModelPhase2-01072025 |
|
|
| This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 5.7451 |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 14 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 8.2614 | 1.0 | 1 | 10.6939 | |
| | 8.2039 | 2.0 | 2 | 9.1045 | |
| | 6.702 | 3.0 | 3 | 7.5605 | |
| | 5.909 | 4.0 | 4 | 6.4362 | |
| | 5.2914 | 5.0 | 5 | 6.4362 | |
| | 5.3337 | 6.0 | 6 | 6.0886 | |
| | 5.0139 | 7.0 | 7 | 5.9303 | |
| | 4.9826 | 8.0 | 8 | 5.8531 | |
| | 4.751 | 9.0 | 9 | 5.7749 | |
| | 4.6473 | 10.0 | 10 | 5.7451 | |
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| ### Framework versions |
|
|
| - Transformers 4.52.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
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|
