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---
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: demo-dog
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. -->
# demo-dog
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: 0.5062
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.6644 | 0.9655 | 7 | 3.6989 |
| 3.1964 | 1.9310 | 14 | 2.5593 |
| 2.1512 | 2.8966 | 21 | 1.4979 |
| 1.1446 | 4.0 | 29 | 0.7417 |
| 0.9436 | 4.9655 | 36 | 0.6006 |
| 0.8548 | 5.9310 | 43 | 0.5513 |
| 0.8057 | 6.8966 | 50 | 0.5254 |
| 0.6854 | 8.0 | 58 | 0.5114 |
| 0.7709 | 8.9655 | 65 | 0.5069 |
| 0.7337 | 9.6552 | 70 | 0.5062 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |