---
license: apache-2.0
base_model: MrHungry/lyfi-expert-classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lyfi-expert2-classification
  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. -->

# lyfi-expert2-classification

This model is a fine-tuned version of [MrHungry/lyfi-expert-classification](https://huggingface.co/MrHungry/lyfi-expert-classification) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0368
- Accuracy: 0.9942

## 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: 5e-05
- train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2768        | 0.29  | 500  | 0.1136          | 0.9813   |
| 0.1384        | 0.58  | 1000 | 0.0813          | 0.9866   |
| 0.106         | 0.88  | 1500 | 0.1128          | 0.9831   |
| 0.0776        | 1.17  | 2000 | 0.0657          | 0.9889   |
| 0.055         | 1.46  | 2500 | 0.0528          | 0.9912   |
| 0.041         | 1.75  | 3000 | 0.0542          | 0.9912   |
| 0.045         | 2.04  | 3500 | 0.0641          | 0.9889   |
| 0.0056        | 2.34  | 4000 | 0.0374          | 0.9959   |
| 0.024         | 2.63  | 4500 | 0.0420          | 0.9947   |
| 0.0127        | 2.92  | 5000 | 0.0368          | 0.9942   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0