---
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