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chess-roberta-whole-move-pretrained
TannerGladson/chess-roberta-whole-move-pretrained
chess-roberta-whole-move-pretrained is a machine learning model from TannerGladson. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Sep 29, 2024
- Updated
- Sep 29, 2024
- SHA
- ab42b4ad
Model card
From the Hugging Face model README
<!-- 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. -->
2024.09.24-01.27
This model is a fine-tuned version of /src/tanner/chess-roberta-code/model_configs/chess_roberta.json on the TannerGladson/chess-roberta-pretraining dataset. It achieves the following results on the evaluation set:
- Loss: 2.1202
- Accuracy: 0.5446
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 9000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1201 | 0.0120 | 1000 | 2.1195 | 0.5445 |
| 2.1222 | 0.0239 | 2000 | 2.1199 | 0.5446 |
| 2.1179 | 0.0359 | 3000 | 2.1199 | 0.5444 |
| 2.1215 | 0.0479 | 4000 | 2.1186 | 0.5446 |
| 2.1176 | 0.0598 | 5000 | 2.1194 | 0.5445 |
| 2.1189 | 0.0718 | 6000 | 2.1193 | 0.5445 |
| 2.1184 | 0.0838 | 7000 | 2.1194 | 0.5446 |
| 2.119 | 0.0957 | 8000 | 2.1190 | 0.5446 |
| 2.1237 | 0.1077 | 9000 | 2.1201 | 0.5446 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Sep 29, 2024
- Updated
- Sep 29, 2024