metadata
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
- name: Model_Finetunned
results: []
Model_Finetunned
This model is a fine-tuned version of TheBloke/Llama-2-7B-Chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3209
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 2.7664 | 0.9796 | 12 | 2.5081 |
| 2.2918 | 1.9592 | 24 | 2.1012 |
| 1.9284 | 2.9388 | 36 | 1.8079 |
| 1.5278 | 4.0 | 49 | 1.5725 |
| 1.4118 | 4.9796 | 61 | 1.3976 |
| 1.2716 | 5.9592 | 73 | 1.3459 |
| 1.2207 | 6.9388 | 85 | 1.3274 |
| 1.0976 | 8.0 | 98 | 1.3224 |
| 1.1685 | 8.9796 | 110 | 1.3208 |
| 1.0552 | 9.7959 | 120 | 1.3209 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1