results_2

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1401

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 7
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3276	0.7143	5	1.8023
1.5933	1.4286	10	1.3899
1.2004	2.1429	15	1.1430
0.9367	2.8571	20	1.0876
0.6763	3.5714	25	1.0625
0.6702	4.2857	30	1.0592
0.6578	5.0	35	1.0892
0.505	5.7143	40	1.1259
0.5346	6.4286	45	1.1401

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1