metadata
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ai-doctor-mental-health-ft
results: []
language:
- en
datasets:
- heliosbrahma/mental_health_chatbot_dataset
ai-doctor-mental-health-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1807
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6533 | 0.9730 | 9 | 3.1807 |
| 2.6383 | 1.9459 | 18 | 3.1807 |
| 2.6153 | 2.9189 | 27 | 3.1807 |
| 2.3762 | 4.0 | 37 | 3.1807 |
| 2.6248 | 4.9730 | 46 | 3.1807 |
| 2.6247 | 5.9459 | 55 | 3.1807 |
| 2.6254 | 6.9189 | 64 | 3.1807 |
| 2.3817 | 8.0 | 74 | 3.1807 |
| 2.6391 | 8.9730 | 83 | 3.1807 |
| 2.4431 | 9.7297 | 90 | 3.1807 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.2.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1