---
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: nan

## 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: 0.004
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6298        | 0.9950  | 149  | 0.4956          |
| 0.4848        | 1.9967  | 299  | 0.4855          |
| 1.4397        | 2.9983  | 449  | 2.3408          |
| 1.4527        | 4.0     | 599  | 1.1570          |
| 1.0505        | 4.9950  | 748  | 1.0305          |
| 0.8713        | 5.9967  | 898  | 0.7930          |
| 0.7679        | 6.9983  | 1048 | 0.7487          |
| 0.7289        | 8.0     | 1198 | 0.7110          |
| 69.2312       | 8.9950  | 1347 | nan             |
| 300.5902      | 9.9967  | 1497 | nan             |
| 635.9469      | 10.9449 | 1639 | nan             |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.0.1+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1