README.md

---
license: gemma
base_model: google/gemma-7b
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- chansung/mental_health_counseling_conversations_merged
model-index:
- name: mental_health_counseling_merged_v0.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mental_health_counseling_merged_v0.1

This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/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