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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
model-index:
- name: shawgpt-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. -->
# shawgpt-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: 1.3909
## 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: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7212 | 0.92 | 3 | 1.5434 |
| 1.4475 | 1.85 | 6 | 1.4012 |
| 1.3078 | 2.77 | 9 | 1.3524 |
| 0.9281 | 4.0 | 13 | 1.3281 |
| 1.2403 | 4.92 | 16 | 1.3273 |
| 1.2006 | 5.85 | 19 | 1.3225 |
| 1.126 | 6.77 | 22 | 1.3246 |
| 0.8129 | 8.0 | 26 | 1.3236 |
| 1.052 | 8.92 | 29 | 1.3281 |
| 1.0153 | 9.85 | 32 | 1.3262 |
| 0.9963 | 10.77 | 35 | 1.3315 |
| 0.7424 | 12.0 | 39 | 1.3389 |
| 0.937 | 12.92 | 42 | 1.3509 |
| 0.9203 | 13.85 | 45 | 1.3569 |
| 0.8923 | 14.77 | 48 | 1.3796 |
| 0.6622 | 16.0 | 52 | 1.3736 |
| 0.8592 | 16.92 | 55 | 1.3812 |
| 0.8636 | 17.85 | 58 | 1.3903 |
| 0.5605 | 18.46 | 60 | 1.3909 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2 |