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monad-chess
DedeProGames/monad-chess
monad-chess is a text generation model from DedeProGames. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025
- SHA
- 09699fe7
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Base models
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. -->
monad-chess
This model is a fine-tuned version of PleIAs/Monad on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8021
- Accuracy: 0.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0912 | 0.1616 | 200 | 1.0668 | 0.0001 |
| 1.0167 | 0.3231 | 400 | 0.9883 | 0.0 |
| 0.9614 | 0.4847 | 600 | 0.9587 | 0.0 |
| 0.926 | 0.6462 | 800 | 0.9231 | 0.0 |
| 0.9032 | 0.8078 | 1000 | 0.8942 | 0.0 |
| 0.8828 | 0.9693 | 1200 | 0.8803 | 0.0 |
| 0.8739 | 1.1309 | 1400 | 0.8659 | 0.0 |
| 0.844 | 1.2924 | 1600 | 0.8526 | 0.0 |
| 0.8531 | 1.4540 | 1800 | 0.8453 | 0.0 |
| 0.8254 | 1.6155 | 2000 | 0.8297 | 0.0 |
| 0.8434 | 1.7771 | 2200 | 0.8263 | 0.0 |
| 0.8217 | 1.9386 | 2400 | 0.8189 | 0.0 |
| 0.8034 | 2.1002 | 2600 | 0.8121 | 0.0 |
| 0.8051 | 2.2617 | 2800 | 0.8082 | 0.0 |
| 0.7945 | 2.4233 | 3000 | 0.8062 | 0.0 |
| 0.7975 | 2.5848 | 3200 | 0.8040 | 0.0 |
| 0.7881 | 2.7464 | 3400 | 0.8026 | 0.0 |
| 0.7951 | 2.9079 | 3600 | 0.8021 | 0.0 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025