metadata
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: CodeT5p-ModelPhase2-01072025-true
results: []
CodeT5p-ModelPhase2-01072025-true
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: 0.8729
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: 10
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6912 | 1.0 | 24000 | 0.9009 |
| 0.4582 | 2.0 | 48000 | 0.8752 |
| 0.6635 | 3.0 | 72000 | 0.8729 |
| 0.4374 | 4.0 | 96000 | 0.8833 |
| 0.5104 | 5.0 | 120000 | 0.9105 |
| 0.3464 | 6.0 | 144000 | 0.9381 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1