metadata
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- chansung/mental_health_counseling_conversations
model-index:
- name: mental_health_counseling_v0.1
results: []
mental_health_counseling_v0.1
This model is a fine-tuned version of google/gemma-7b on the chansung/mental_health_counseling_conversations dataset. It achieves the following results on the evaluation set:
- Loss: 2.0755
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: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.357 | 1.0 | 120 | 2.2527 |
| 1.8805 | 2.0 | 240 | 1.8901 |
| 1.5884 | 3.0 | 360 | 1.6506 |
| 0.976 | 4.0 | 480 | 1.4923 |
| 0.494 | 5.0 | 600 | 1.4527 |
| 0.6722 | 6.0 | 720 | 1.5256 |
| 0.4155 | 7.0 | 840 | 1.6937 |
| 0.3646 | 8.0 | 960 | 1.9389 |
| 0.1977 | 9.0 | 1080 | 2.0741 |
| 0.072 | 10.0 | 1200 | 2.0755 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1