---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_focal_ckpt
  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_ckpt

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0561
- Precision: 0.6529
- Recall: 0.6366
- F1: 0.6446
- Accuracy: 0.9516

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.058         | 1.0   | 5561  | 0.0583          | 0.6327    | 0.5945 | 0.6130 | 0.9484   |
| 0.0566        | 2.0   | 11122 | 0.0570          | 0.6401    | 0.5985 | 0.6186 | 0.9492   |
| 0.0564        | 3.0   | 16683 | 0.0567          | 0.6364    | 0.6241 | 0.6302 | 0.9496   |
| 0.053         | 4.0   | 22244 | 0.0561          | 0.6416    | 0.6312 | 0.6364 | 0.9503   |
| 0.052         | 5.0   | 27805 | 0.0558          | 0.6501    | 0.6239 | 0.6367 | 0.9510   |
| 0.0507        | 6.0   | 33366 | 0.0555          | 0.6555    | 0.6208 | 0.6377 | 0.9514   |
| 0.0497        | 7.0   | 38927 | 0.0552          | 0.6559    | 0.6256 | 0.6404 | 0.9515   |
| 0.0485        | 8.0   | 44488 | 0.0561          | 0.6485    | 0.6397 | 0.6440 | 0.9513   |
| 0.0481        | 9.0   | 50049 | 0.0558          | 0.6531    | 0.6344 | 0.6436 | 0.9515   |
| 0.0469        | 10.0  | 55610 | 0.0561          | 0.6529    | 0.6366 | 0.6446 | 0.9516   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1