mental_health_counseling_merged_v0.1
This model is a fine-tuned version of google/gemma-7b on the chansung/mental_health_counseling_conversations_merged dataset. It achieves the following results on the evaluation set:
- Loss: 0.8529
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: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8916 | 1.0 | 3558 | 0.8929 |
| 0.8691 | 2.0 | 7116 | 0.8701 |
| 0.8141 | 3.0 | 10674 | 0.8574 |
| 0.838 | 4.0 | 14232 | 0.8494 |
| 0.7613 | 5.0 | 17790 | 0.8529 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/gemma-7b