|
|
--- |
|
|
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ |
|
|
library_name: peft |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Paul_AI-ft |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Paul_AI-ft |
|
|
|
|
|
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.4433 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 3.4026 | 0.9655 | 7 | 2.6999 | |
|
|
| 2.2003 | 1.9310 | 14 | 1.6326 | |
|
|
| 1.2189 | 2.8966 | 21 | 0.8858 | |
|
|
| 0.6073 | 4.0 | 29 | 0.5774 | |
|
|
| 0.5123 | 4.9655 | 36 | 0.5030 | |
|
|
| 0.4497 | 5.9310 | 43 | 0.4705 | |
|
|
| 0.4181 | 6.8966 | 50 | 0.4567 | |
|
|
| 0.3456 | 8.0 | 58 | 0.4467 | |
|
|
| 0.3803 | 8.9655 | 65 | 0.4441 | |
|
|
| 0.343 | 9.6552 | 70 | 0.4433 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.13.2 |
|
|
- Transformers 4.44.2 |
|
|
- Pytorch 2.4.1+cu121 |
|
|
- Datasets 3.0.1 |
|
|
- Tokenizers 0.19.1 |
