metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: fungpt-ft
results: []
fungpt-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: 3.1043
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: 0.0002
- 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 |
|---|---|---|---|
| 5.2519 | 1.0 | 15 | 3.8834 |
| 3.6084 | 2.0 | 30 | 3.4631 |
| 3.1807 | 3.0 | 45 | 3.1895 |
| 2.921 | 4.0 | 60 | 3.1170 |
| 2.8287 | 5.0 | 75 | 3.0935 |
| 2.7328 | 6.0 | 90 | 3.0807 |
| 2.6611 | 7.0 | 105 | 3.0841 |
| 2.6403 | 8.0 | 120 | 3.0969 |
| 2.5925 | 9.0 | 135 | 3.1010 |
| 2.55 | 10.0 | 150 | 3.1043 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2