metadata
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/codet5p-220m
tags:
- generated_from_trainer
model-index:
- name: 20250714-Phase1-One2Set-FilteredV4
results: []
20250714-Phase1-One2Set-FilteredV4
This model is a fine-tuned version of Salesforce/codet5p-220m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9075
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: 3
- eval_batch_size: 3
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9168 | 1.0 | 80000 | 0.9075 |
| 0.9261 | 2.0 | 160000 | 0.9075 |
| 0.9186 | 3.0 | 240000 | 0.9075 |
| 0.8985 | 4.0 | 320000 | 0.9075 |
| 0.8853 | 5.0 | 400000 | 0.9075 |
| 0.9296 | 6.0 | 480000 | 0.9075 |
| 0.8869 | 7.0 | 560000 | 0.9075 |
| 0.9254 | 8.0 | 640000 | 0.9075 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1