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library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0537
## 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_FUSED 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: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.5508 | 0.0766 | 5000 | 1.7315 |
| 1.6691 | 0.1533 | 10000 | 1.5102 |
| 1.5237 | 0.2299 | 15000 | 1.4152 |
| 1.4431 | 0.3065 | 20000 | 1.3476 |
| 1.3836 | 0.3832 | 25000 | 1.2948 |
| 1.3352 | 0.4598 | 30000 | 1.2483 |
| 1.2887 | 0.5365 | 35000 | 1.2047 |
| 1.2419 | 0.6131 | 40000 | 1.1618 |
| 1.2014 | 0.6897 | 45000 | 1.1249 |
| 1.164 | 0.7664 | 50000 | 1.0920 |
| 1.1363 | 0.8430 | 55000 | 1.0685 |
| 1.1165 | 0.9196 | 60000 | 1.0564 |
| 1.108 | 0.9963 | 65000 | 1.0537 |
### Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
|