---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_focal_v3
  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. -->

# tiny_focal_v3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0023
- Precision: 0.6975
- Recall: 0.6822
- F1: 0.6898
- Accuracy: 0.9515

## 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: 3e-05
- 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.004         | 1.0   | 5561  | 0.0032          | 0.6900    | 0.6102 | 0.6477 | 0.9454   |
| 0.0032        | 2.0   | 11122 | 0.0028          | 0.6901    | 0.6406 | 0.6644 | 0.9477   |
| 0.0029        | 3.0   | 16683 | 0.0026          | 0.6956    | 0.6509 | 0.6725 | 0.9490   |
| 0.0025        | 4.0   | 22244 | 0.0025          | 0.6838    | 0.6764 | 0.6801 | 0.9493   |
| 0.0024        | 5.0   | 27805 | 0.0024          | 0.6954    | 0.6715 | 0.6832 | 0.9504   |
| 0.0023        | 6.0   | 33366 | 0.0024          | 0.7125    | 0.6524 | 0.6811 | 0.9512   |
| 0.0021        | 7.0   | 38927 | 0.0023          | 0.6999    | 0.6748 | 0.6872 | 0.9514   |
| 0.0019        | 8.0   | 44488 | 0.0024          | 0.6962    | 0.6820 | 0.6890 | 0.9513   |
| 0.0019        | 9.0   | 50049 | 0.0023          | 0.7005    | 0.6775 | 0.6888 | 0.9516   |
| 0.0018        | 10.0  | 55610 | 0.0023          | 0.6975    | 0.6822 | 0.6898 | 0.9515   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1