Llama-3-1b-Instruct-chatbot-mental-health
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 2.4214
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.183 | 1.0 | 491 | 2.4874 |
2.0561 | 2.0 | 982 | 2.4214 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for ayeshaNoor1/Llama-3-1b-Instruct-chatbot-mental-health
Base model
meta-llama/Llama-3.2-1B-Instruct