transformers safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
  results: []
---

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# 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: 2.5232

## 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: 152
- eval_batch_size: 152
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1382        | 0.09  | 100  | 5.0409          |
| 4.6763        | 0.18  | 200  | 4.5291          |
| 4.1844        | 0.27  | 300  | 4.0911          |
| 3.7959        | 0.36  | 400  | 3.7670          |
| 3.4769        | 0.45  | 500  | 3.4760          |
| 3.2109        | 0.54  | 600  | 3.2396          |
| 2.9961        | 0.63  | 700  | 3.0584          |
| 2.8295        | 0.73  | 800  | 2.9007          |
| 2.6731        | 0.82  | 900  | 2.7664          |
| 2.565         | 0.91  | 1000 | 2.6825          |
| 2.4186        | 1.0   | 1100 | 2.5232          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
