---
tags:
- generated_from_trainer
model-index:
- name: GPT2-705M
  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. -->

# GPT2-705M

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: 5.4628

## 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: 0.00025
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.7135        | 0.57  | 1    | 9.7272          |
| 8.0222        | 1.71  | 3    | 9.3213          |
| 7.6063        | 2.86  | 5    | 8.5841          |
| 7.5596        | 4.0   | 7    | 7.9271          |
| 7.4194        | 4.57  | 8    | 8.0942          |
| 7.1644        | 5.71  | 10   | 7.5409          |
| 6.8531        | 6.86  | 12   | 7.3028          |
| 6.3614        | 8.0   | 14   | 9.3796          |
| 8.5129        | 8.57  | 15   | 7.6361          |
| 6.1325        | 9.71  | 17   | 6.7577          |
| 5.8526        | 10.86 | 19   | 6.5249          |
| 5.5941        | 12.0  | 21   | 6.2490          |
| 5.4307        | 12.57 | 22   | 6.2442          |
| 5.1381        | 13.71 | 24   | 5.9595          |
| 4.8705        | 14.86 | 26   | 5.8944          |
| 4.7083        | 16.0  | 28   | 5.7005          |
| 4.5355        | 16.57 | 29   | 5.7459          |
| 4.4187        | 17.71 | 31   | 5.5387          |
| 4.3123        | 18.86 | 33   | 5.4863          |
| 4.0269        | 20.0  | 35   | 5.3277          |
| 3.942         | 20.57 | 36   | 5.3274          |
| 3.784         | 21.71 | 38   | 5.3998          |
| 3.4991        | 22.86 | 40   | 5.4628          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0