finetuned-llama-mental-health-chatbot_counselch
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1489
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.295 | 1.8182 | 500 | 1.1598 |
| 1.1601 | 3.6364 | 1000 | 1.1524 |
| 1.1377 | 5.4545 | 1500 | 1.1502 |
| 1.1338 | 7.2727 | 2000 | 1.1489 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for supkon/finetuned-llama-mental-health-chatbot_counselch
Base model
meta-llama/Llama-3.2-1B