metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: shawgpt-ft
results: []
shawgpt-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: 0.7904
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6612 | 0.91 | 8 | 1.3313 |
| 1.1146 | 1.94 | 17 | 1.1069 |
| 0.9461 | 2.97 | 26 | 0.9471 |
| 0.8283 | 4.0 | 35 | 0.8600 |
| 0.8635 | 4.91 | 43 | 0.8291 |
| 0.7343 | 5.94 | 52 | 0.8114 |
| 0.7219 | 6.97 | 61 | 0.8000 |
| 0.7052 | 8.0 | 70 | 0.7931 |
| 0.7785 | 8.91 | 78 | 0.7905 |
| 0.4625 | 9.14 | 80 | 0.7904 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2