metadata
base_model: codeparrot/codeparrot
tags:
- generated_from_trainer
model-index:
- name: fineTuneCodeParotWithPrompt
results: []
fineTuneCodeParotWithPrompt
This model is a fine-tuned version of codeparrot/codeparrot on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1941
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3654 | 1.0 | 1000 | 0.2371 |
| 0.189 | 2.0 | 2000 | 0.2040 |
| 0.1336 | 3.0 | 3000 | 0.1892 |
| 0.0963 | 4.0 | 4000 | 0.1837 |
| 0.0668 | 5.0 | 5000 | 0.1941 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1