README.md

metadata

base_model: mistralai/Mistral-7B-Instruct-v0.3
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: >-
      Mistral-7B-Instruct-v0.3-4bit-finetuned-mental-health-conversational_120steps
    results: []

Mistral-7B-Instruct-v0.3-4bit-finetuned-mental-health-conversational_120steps

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset.

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: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 120

Training results

Framework versions

• PEFT 0.12.1.dev0
• Transformers 4.44.0
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1