Edit model card

Intel-NeuralChat-sharded-bf16-finetuned-mental-health-conversational

This model is a fine-tuned version of typeof/neural-chat-7b-v3-1-sharded on an PHR Mental Conversation 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
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for Jaykumaran17/Intel-NeuralChat-sharded-bf16-finetuned-mental-health-conversational

Finetuned
(1)
this model

Dataset used to train Jaykumaran17/Intel-NeuralChat-sharded-bf16-finetuned-mental-health-conversational