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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Mistral-7B-v0.1-GPTQ
model-index:
- name: mistral-7b-nli_cot
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. -->
# mistral-7b-nli_cot
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-v0.1-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4930
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 11
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4947 | 0.9996 | 598 | 0.4534 |
| 0.4418 | 1.9992 | 1196 | 0.4475 |
| 0.4262 | 2.9987 | 1794 | 0.4476 |
| 0.4125 | 4.0 | 2393 | 0.4499 |
| 0.4015 | 4.9996 | 2991 | 0.4552 |
| 0.3908 | 5.9992 | 3589 | 0.4591 |
| 0.3809 | 6.9987 | 4187 | 0.4653 |
| 0.3712 | 8.0 | 4786 | 0.4721 |
| 0.3635 | 8.9996 | 5384 | 0.4783 |
| 0.3562 | 9.9992 | 5982 | 0.4868 |
| 0.3496 | 10.9954 | 6578 | 0.4930 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.0.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1 |