llama-7b-finetuned-mental-health-conversational
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 120
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.0.0+cu117
- Datasets 2.21.0
- Tokenizers 0.20.0
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Model tree for BellLabs/llama-7b-finetuned-mental-health-conversational
Base model
meta-llama/Llama-2-7b-hf