---
base_model: NousResearch/Llama-2-7b-hf
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: training_outputs2
  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. -->

# training_outputs2

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
| 0.0           | 0.21  | 10   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 0.42  | 20   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 0.62  | 30   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 0.83  | 40   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 1.04  | 50   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 1.25  | 60   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 1.46  | 70   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 1.67  | 80   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 1.88  | 90   | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 2.08  | 100  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 2.29  | 110  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 2.5   | 120  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 2.71  | 130  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |
| 0.0           | 2.92  | 140  | 0.0000          | 1.0      | 1.0       | 1.0    | 1.0 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3