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axolotl-alpha-chess-finetune-mistral-7b
nlpguy/axolotl-alpha-chess-finetune-mistral-7b
axolotl-alpha-chess-finetune-mistral-7b is a machine learning model from nlpguy. 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. The card lists the license as apache-2.0.
Finetuned on 10% of the Lichess pgn games from January 2013. (0.1 epochs)
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Dec 28, 2023
- Updated
- Dec 30, 2023
- SHA
- d5ee8930
Base models
Model card
From the Hugging Face model README
Finetuned on 10% of the Lichess pgn games from January 2013. (0.1 epochs)
<!-- 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. -->qlora-out
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6916
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9892 | 0.0 | 1 | 1.0104 |
| 0.7441 | 0.03 | 22 | 0.7426 |
| 0.7049 | 0.05 | 44 | 0.7099 |
| 0.6796 | 0.08 | 66 | 0.6916 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- Dec 28, 2023
- Updated
- Dec 30, 2023