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Intel-NeuralChat-sharded-bf16-finetuned-mental-health-conversational – AI Model by Jaykumaran17 | AlphaNeural AI
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Jaykumaran17
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Intel-NeuralChat-sharded-bf16-finetuned-mental-health-conversational
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tensorboard
safetensors
generated_from_trainer
en
vibhorag101/phr_mental_therapy_dataset
typeof/neural-chat-7b-v3-1-sharded
finetune
apache-2.0
us
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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