metadata
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: mistral-qlora
results: []
mistral-qlora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.1043
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3197 | 0.4717 | 25 | 1.1871 |
| 1.2338 | 0.9434 | 50 | 1.1517 |
| 1.1627 | 1.4151 | 75 | 1.1142 |
| 1.1482 | 1.8868 | 100 | 1.1043 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.9.0+cu128
- Datasets 2.20.0
- Tokenizers 0.19.1