mental-health-mistral-7b-instructv0.2-finetuned-V2

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

• Loss: 0.6677

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7331	1.0	100	0.7985
0.6115	2.0	200	0.6883
0.5534	3.0	300	0.6677

Framework versions

• PEFT 0.7.1
• Transformers 4.36.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0