---
library_name: transformers
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 [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5904

## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 4.9189        | 0.0766 | 5000  | 4.7222          |
| 4.6994        | 0.1533 | 10000 | 4.6899          |
| 4.6724        | 0.2299 | 15000 | 4.6754          |
| 4.6608        | 0.3065 | 20000 | 4.6618          |
| 4.6498        | 0.3832 | 25000 | 4.6529          |
| 4.6401        | 0.4598 | 30000 | 4.6463          |
| 4.6328        | 0.5365 | 35000 | 4.6370          |
| 4.6226        | 0.6131 | 40000 | 4.6300          |
| 4.6128        | 0.6897 | 45000 | 4.6196          |
| 4.6034        | 0.7664 | 50000 | 4.6116          |
| 4.5965        | 0.8430 | 55000 | 4.6028          |
| 4.5869        | 0.9196 | 60000 | 4.5959          |
| 4.5813        | 0.9963 | 65000 | 4.5904          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.2.0
- Datasets 3.0.0
- Tokenizers 0.19.1