metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: DemPy-ft
results: []
DemPy-ft
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: 0.5489
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 |
|---|---|---|---|
| 0.9243 | 1.0 | 198 | 0.6158 |
| 0.5792 | 2.0 | 396 | 0.5695 |
| 0.5372 | 3.0 | 594 | 0.5498 |
| 0.5085 | 4.0 | 793 | 0.5406 |
| 0.491 | 5.0 | 991 | 0.5361 |
| 0.4736 | 6.0 | 1189 | 0.5337 |
| 0.4581 | 7.0 | 1387 | 0.5362 |
| 0.4416 | 8.0 | 1586 | 0.5397 |
| 0.43 | 9.0 | 1784 | 0.5426 |
| 0.4175 | 9.99 | 1980 | 0.5489 |
Framework versions
- PEFT 0.9.0
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1