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: 1.4459
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 |
|---|---|---|---|
| 1.9892 | 1.0 | 18 | 1.7747 |
| 1.4194 | 2.0 | 36 | 1.5826 |
| 1.2718 | 3.0 | 54 | 1.4822 |
| 1.1567 | 4.0 | 72 | 1.4264 |
| 1.0813 | 5.0 | 90 | 1.4069 |
| 1.0171 | 6.0 | 108 | 1.4098 |
| 0.9646 | 7.0 | 126 | 1.4167 |
| 0.9317 | 8.0 | 144 | 1.4269 |
| 0.895 | 9.0 | 162 | 1.4340 |
| 0.876 | 10.0 | 180 | 1.4459 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2