nlpguy/axolotl-alpha-chess-finetune-mistral-7b

Finetuned on 10% of the Lichess pgn games from January 2013. (0.1 epochs)

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