---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_bb_wd
  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_bb_wd

This model is a fine-tuned version of [kktoto/tiny_bb_wd](https://huggingface.co/kktoto/tiny_bb_wd) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1331
- Precision: 0.6566
- Recall: 0.6502
- F1: 0.6533
- Accuracy: 0.9524

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1193        | 1.0   | 5561  | 0.1398          | 0.6406    | 0.6264 | 0.6335 | 0.9501   |
| 0.1259        | 2.0   | 11122 | 0.1343          | 0.6476    | 0.6300 | 0.6387 | 0.9509   |
| 0.1283        | 3.0   | 16683 | 0.1333          | 0.6484    | 0.6367 | 0.6425 | 0.9512   |
| 0.1217        | 4.0   | 22244 | 0.1325          | 0.6524    | 0.6380 | 0.6451 | 0.9516   |
| 0.12          | 5.0   | 27805 | 0.1337          | 0.6571    | 0.6377 | 0.6472 | 0.9522   |
| 0.1187        | 6.0   | 33366 | 0.1319          | 0.6630    | 0.6297 | 0.6459 | 0.9525   |
| 0.116         | 7.0   | 38927 | 0.1318          | 0.6600    | 0.6421 | 0.6509 | 0.9525   |
| 0.1125        | 8.0   | 44488 | 0.1337          | 0.6563    | 0.6481 | 0.6522 | 0.9523   |
| 0.1118        | 9.0   | 50049 | 0.1329          | 0.6575    | 0.6477 | 0.6526 | 0.9524   |
| 0.1103        | 10.0  | 55610 | 0.1331          | 0.6566    | 0.6502 | 0.6533 | 0.9524   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1