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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: shawgpt-finetuned
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. -->
# shawgpt-finetuned
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: 2.2941
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.6175 | 0.9231 | 3 | 4.0845 |
| 4.2678 | 1.8462 | 6 | 3.7242 |
| 3.842 | 2.7692 | 9 | 3.3805 |
| 2.5928 | 4.0 | 13 | 2.9846 |
| 3.1575 | 4.9231 | 16 | 2.7594 |
| 2.8923 | 5.8462 | 19 | 2.5880 |
| 2.7085 | 6.7692 | 22 | 2.4589 |
| 1.9284 | 8.0 | 26 | 2.3404 |
| 2.4799 | 8.9231 | 29 | 2.2987 |
| 1.6906 | 9.2308 | 30 | 2.2941 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.19.1 |