metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: logs_100
results: []
logs_100
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6145
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9627 | 1.0 | 50 | 1.1885 |
| 0.7337 | 2.0 | 100 | 0.9837 |
| 0.5836 | 3.0 | 150 | 0.9349 |
| 0.6425 | 4.0 | 200 | 0.8794 |
| 0.5592 | 5.0 | 250 | 0.8335 |
| 0.5963 | 6.0 | 300 | 0.7700 |
| 0.5311 | 7.0 | 350 | 0.7193 |
| 0.4707 | 8.0 | 400 | 0.6721 |
| 0.4737 | 9.0 | 450 | 0.6304 |
| 0.4458 | 10.0 | 500 | 0.6145 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2