metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds-model
results: []
codeparrot-ds-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9517
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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: cosine
- lr_scheduler_warmup_steps: 5000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4181 | 0.1533 | 10000 | 1.5849 |
| 1.5361 | 0.3065 | 20000 | 1.4070 |
| 1.4242 | 0.4598 | 30000 | 1.3356 |
| 1.3721 | 0.6131 | 40000 | 1.2948 |
| 1.3327 | 0.7664 | 50000 | 1.2638 |
| 1.3053 | 0.9196 | 60000 | 1.2403 |
| 1.2751 | 1.0729 | 70000 | 1.2146 |
| 1.2491 | 1.2262 | 80000 | 1.1876 |
| 1.2258 | 1.3795 | 90000 | 1.1642 |
| 1.1997 | 1.5327 | 100000 | 1.1374 |
| 1.1724 | 1.6860 | 110000 | 1.1113 |
| 1.1444 | 1.8393 | 120000 | 1.0826 |
| 1.1157 | 1.9926 | 130000 | 1.0551 |
| 1.0762 | 2.1458 | 140000 | 1.0298 |
| 1.0513 | 2.2991 | 150000 | 1.0042 |
| 1.0275 | 2.4524 | 160000 | 0.9827 |
| 1.0067 | 2.6056 | 170000 | 0.9662 |
| 0.9906 | 2.7589 | 180000 | 0.9556 |
| 0.9827 | 2.9122 | 190000 | 0.9517 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.3.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0