---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: ncis
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ncis

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1321
- Accuracy: 0.9596

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5872        | 1.0   | 37   | 0.3532          | 0.8535   |
| 0.3902        | 2.0   | 74   | 0.2625          | 0.8737   |
| 0.169         | 3.0   | 111  | 0.1820          | 0.9495   |
| 0.1978        | 4.0   | 148  | 0.1502          | 0.9596   |
| 0.1401        | 5.0   | 185  | 0.1321          | 0.9596   |
| 0.0175        | 6.0   | 222  | 0.2037          | 0.9394   |
| 0.0101        | 7.0   | 259  | 0.1677          | 0.9495   |
| 0.0001        | 8.0   | 296  | 0.1633          | 0.9545   |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1