logs

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1291

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9560	19	1.6214
1.8609	1.9623	39	1.4791
1.5247	2.9686	59	1.3896
1.4173	3.9748	79	1.3052
1.4173	4.9811	99	1.2385
1.3272	5.9874	119	1.1894
1.248	6.9937	139	1.1540
1.2	8.0	159	1.1351
1.1843	8.9560	178	1.1295
1.1843	9.5597	190	1.1291

Framework versions

• PEFT 0.11.1
• Transformers 4.40.2
• Pytorch 2.1.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1