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trelis_chess
emmaking-smith/trelis_chess
trelis_chess is a machine learning model from emmaking-smith. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Nov 25, 2024
- Updated
- Nov 25, 2024
- SHA
- 0a351cf3
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. -->
trelis_chess
This model is a fine-tuned version of mistral-community/pixtral-12b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3723
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1927 | 0.4167 | 5 | 1.4520 |
| 1.39 | 0.8333 | 10 | 1.3222 |
| 0.5935 | 1.25 | 15 | 1.1814 |
| 0.4317 | 1.6667 | 20 | 1.3723 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Created
- Nov 25, 2024
- Updated
- Nov 25, 2024