---
license: mit
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ids
  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-ids

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: 1.6494

## 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
- distributed_type: multi-GPU
- 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.26          | 0.09  | 500  | 3.0600          |
| 2.58          | 0.18  | 1000 | 2.4991          |
| 2.3247        | 0.28  | 1500 | 2.2607          |
| 2.1442        | 0.37  | 2000 | 2.0888          |
| 2.0134        | 0.46  | 2500 | 1.9589          |
| 1.9115        | 0.55  | 3000 | 1.8542          |
| 1.8193        | 0.65  | 3500 | 1.7703          |
| 1.7542        | 0.74  | 4000 | 1.7063          |
| 1.7138        | 0.83  | 4500 | 1.6675          |
| 1.6928        | 0.92  | 5000 | 1.6494          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.2