metadata
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: CodeT5p-ModelPhase2-01072025
results: []
CodeT5p-ModelPhase2-01072025
This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.7451
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: 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 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1