---
library_name: transformers
license: mit
base_model: gpt2
tags:
- Text generation
- generated_from_trainer
model-index:
- name: codeparrot-ds-2
  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-2

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: 1.0614

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 2.5681        | 0.0766 | 5000  | 1.7468          |
| 1.6828        | 0.1533 | 10000 | 1.5245          |
| 1.5337        | 0.2299 | 15000 | 1.4208          |
| 1.4542        | 0.3065 | 20000 | 1.3556          |
| 1.3941        | 0.3832 | 25000 | 1.3040          |
| 1.3429        | 0.4598 | 30000 | 1.2564          |
| 1.2972        | 0.5365 | 35000 | 1.2130          |
| 1.2508        | 0.6131 | 40000 | 1.1707          |
| 1.21          | 0.6897 | 45000 | 1.1323          |
| 1.1723        | 0.7664 | 50000 | 1.0998          |
| 1.1453        | 0.8430 | 55000 | 1.0765          |
| 1.1239        | 0.9196 | 60000 | 1.0645          |
| 1.1165        | 0.9963 | 65000 | 1.0614          |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1