|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: gpt2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: chessgpt2-small-s |
|
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. --> |
|
|
|
# chessgpt2-small-s |
|
|
|
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: 0.9942 |
|
|
|
## 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: 0.0004 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.04 |
|
- num_epochs: 3 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:-----:|:---------------:| |
|
| 2.2324 | 0.2560 | 1000 | 1.6718 | |
|
| 1.5685 | 0.5119 | 2000 | 1.3914 | |
|
| 1.3827 | 0.7679 | 3000 | 1.2685 | |
|
| 1.275 | 1.0238 | 4000 | 1.1896 | |
|
| 1.1969 | 1.2798 | 5000 | 1.1338 | |
|
| 1.1498 | 1.5357 | 6000 | 1.0901 | |
|
| 1.1102 | 1.7917 | 7000 | 1.0563 | |
|
| 1.0698 | 2.0476 | 8000 | 1.0300 | |
|
| 1.0221 | 2.3036 | 9000 | 1.0122 | |
|
| 1.0079 | 2.5595 | 10000 | 1.0003 | |
|
| 0.9988 | 2.8155 | 11000 | 0.9942 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.19.1 |
|
|
