metadata
base_model: TheBloke/Llama-2-13B-chat-GPTQ
library_name: peft
license: llama2
tags:
- generated_from_trainer
model-index:
- name: qlora
results: []
qlora
This model is a fine-tuned version of TheBloke/Llama-2-13B-chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1030
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
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0135 | 0.9412 | 12 | 0.4043 |
| 0.145 | 1.9608 | 25 | 0.1342 |
| 0.0703 | 2.9804 | 38 | 0.1080 |
| 0.0531 | 4.0 | 51 | 0.1023 |
| 0.0532 | 4.9412 | 63 | 0.1040 |
| 0.0476 | 5.9608 | 76 | 0.1037 |
| 0.0459 | 6.9804 | 89 | 0.1028 |
| 0.0449 | 7.8431 | 100 | 0.1030 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1