README.md

metadata

license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
  - generated_from_trainer
model-index:
  - name: Zephyr7b-Beta-sharded-bf16-finetuned-mental-health-conversational-Amod
    results: []
datasets:
  - Amod/mental_health_counseling_conversations
language:
  - en

Zephyr7b-Beta-sharded-bf16-finetuned-mental-health-conversational-Amod

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an Amod Mental Health 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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 320
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0