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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: brevity_ss-promt_e30
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. -->
# brevity_ss-promt_e30
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: 0.4920
## 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: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9164 | 0.8 | 2 | 3.1402 |
| 2.3902 | 2.0 | 5 | 2.6152 |
| 3.053 | 2.8 | 7 | 2.3220 |
| 1.7893 | 4.0 | 10 | 1.9873 |
| 2.3626 | 4.8 | 12 | 1.8054 |
| 1.3909 | 6.0 | 15 | 1.5493 |
| 1.8073 | 6.8 | 17 | 1.3868 |
| 1.0338 | 8.0 | 20 | 1.1445 |
| 1.2723 | 8.8 | 22 | 0.9763 |
| 0.6819 | 10.0 | 25 | 0.7926 |
| 0.8371 | 10.8 | 27 | 0.7085 |
| 0.4868 | 12.0 | 30 | 0.6329 |
| 0.6522 | 12.8 | 32 | 0.5975 |
| 0.4052 | 14.0 | 35 | 0.5653 |
| 0.5732 | 14.8 | 37 | 0.5482 |
| 0.3641 | 16.0 | 40 | 0.5303 |
| 0.5239 | 16.8 | 42 | 0.5213 |
| 0.3372 | 18.0 | 45 | 0.5101 |
| 0.4896 | 18.8 | 47 | 0.5041 |
| 0.3174 | 20.0 | 50 | 0.4974 |
| 0.4645 | 20.8 | 52 | 0.4949 |
| 0.3046 | 22.0 | 55 | 0.4929 |
| 0.4505 | 22.8 | 57 | 0.4923 |
| 0.2972 | 24.0 | 60 | 0.4920 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |