---
license: mit
base_model: Toflamus/GPT-2_para3M
tags:
- generated_from_trainer
model-index:
- name: Output
  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. -->

# Output

This model is a fine-tuned version of [Toflamus/GPT-2_para3M](https://huggingface.co/Toflamus/GPT-2_para3M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9785

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.6797        | 0.27  | 100  | 7.0355          |
| 6.9842        | 0.55  | 200  | 6.6754          |
| 6.7517        | 0.82  | 300  | 6.5074          |
| 6.6145        | 1.09  | 400  | 6.3942          |
| 6.5294        | 1.37  | 500  | 6.3043          |
| 6.4228        | 1.64  | 600  | 6.2332          |
| 6.3582        | 1.91  | 700  | 6.1772          |
| 6.3           | 2.19  | 800  | 6.1279          |
| 6.2841        | 2.46  | 900  | 6.0878          |
| 6.2103        | 2.73  | 1000 | 6.0572          |
| 6.1908        | 3.01  | 1100 | 6.0325          |
| 6.1733        | 3.28  | 1200 | 6.0132          |
| 6.1383        | 3.55  | 1300 | 5.9991          |
| 6.149         | 3.83  | 1400 | 5.9901          |
| 6.1383        | 4.1   | 1500 | 5.9836          |
| 6.1155        | 4.37  | 1600 | 5.9800          |
| 6.1275        | 4.65  | 1700 | 5.9788          |
| 6.1257        | 4.92  | 1800 | 5.9785          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.2