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