metadata
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
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: 1.3151
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7497 | 1.0 | 4 | 2.6779 |
| 2.6244 | 2.0 | 8 | 2.5849 |
| 2.4713 | 3.0 | 12 | 2.4209 |
| 2.2528 | 4.0 | 16 | 2.2592 |
| 2.1709 | 5.0 | 20 | 2.0030 |
| 1.7641 | 6.0 | 24 | 1.7789 |
| 1.5186 | 7.0 | 28 | 1.5817 |
| 1.4366 | 8.0 | 32 | 1.4485 |
| 1.3282 | 9.0 | 36 | 1.3829 |
| 1.1828 | 10.0 | 40 | 1.3437 |
| 1.2567 | 11.0 | 44 | 1.3216 |
| 1.0748 | 12.0 | 48 | 1.3156 |
| 1.1122 | 13.0 | 52 | 1.3091 |
| 0.9957 | 14.0 | 56 | 1.3154 |
| 1.0336 | 15.0 | 60 | 1.3151 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1