metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: likhithgptqlora-ft
results: []
likhithgptqlora-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: 1.7392
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 |
|---|---|---|---|
| 4.5903 | 0.92 | 3 | 3.9565 |
| 4.0304 | 1.85 | 6 | 3.4219 |
| 3.4444 | 2.77 | 9 | 2.9589 |
| 2.2317 | 4.0 | 13 | 2.5307 |
| 2.6274 | 4.92 | 16 | 2.2792 |
| 2.3002 | 5.85 | 19 | 2.0870 |
| 2.0569 | 6.77 | 22 | 1.9200 |
| 1.4346 | 8.0 | 26 | 1.7944 |
| 1.8129 | 8.92 | 29 | 1.7451 |
| 1.263 | 9.23 | 30 | 1.7392 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2