---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: ChessQween2-tiny
  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. -->

# ChessQween2-tiny

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3192

## 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: 0.00015
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.9745        | 0.1009 | 101  | 3.9412          |
| 3.5969        | 0.2018 | 202  | 3.5234          |
| 3.2078        | 0.3028 | 303  | 3.1028          |
| 2.9051        | 0.4037 | 404  | 2.7821          |
| 2.7076        | 0.5046 | 505  | 2.5714          |
| 2.5810        | 0.6055 | 606  | 2.4494          |
| 2.5076        | 0.7065 | 707  | 2.3762          |
| 2.4721        | 0.8074 | 808  | 2.3372          |
| 2.4643        | 0.9083 | 909  | 2.3221          |
| 2.4602        | 1.0    | 1001 | 2.3192          |


### Framework versions

- Transformers 5.14.1
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2