metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: AC
results: []
AC
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: 1.8764
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 |
|---|---|---|---|
| 4.5935 | 0.9231 | 3 | 3.9650 |
| 4.0485 | 1.8462 | 6 | 3.4451 |
| 3.4749 | 2.7692 | 9 | 2.9980 |
| 2.2683 | 4.0 | 13 | 2.5725 |
| 2.6904 | 4.9231 | 16 | 2.3245 |
| 2.3667 | 5.8462 | 19 | 2.1339 |
| 2.1545 | 6.7692 | 22 | 2.0005 |
| 1.5485 | 8.0 | 26 | 1.9558 |
| 2.0074 | 8.9231 | 29 | 1.8868 |
| 1.3779 | 9.2308 | 30 | 1.8764 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1