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: 1.0617

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.567         | 0.08  | 5000  | 1.7410          |
| 1.6812        | 0.15  | 10000 | 1.5239          |
| 1.5341        | 0.23  | 15000 | 1.4214          |
| 1.4552        | 0.31  | 20000 | 1.3572          |
| 1.3953        | 0.38  | 25000 | 1.3061          |
| 1.3439        | 0.46  | 30000 | 1.2575          |
| 1.2981        | 0.54  | 35000 | 1.2142          |
| 1.2516        | 0.61  | 40000 | 1.1719          |
| 1.2106        | 0.69  | 45000 | 1.1328          |
| 1.1728        | 0.77  | 50000 | 1.1007          |
| 1.1457        | 0.84  | 55000 | 1.0767          |
| 1.1243        | 0.92  | 60000 | 1.0647          |
| 1.1169        | 1.0   | 65000 | 1.0617          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
