---
tags:
- generated_from_trainer
datasets:
- massive
metrics:
- f1
model-index:
- name: data_laundry
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: massive
      type: massive
      config: en-US
      split: test
      args: en-US
    metrics:
    - name: F1
      type: f1
      value: 0.7982630095389778
---

<!-- 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. -->

# data_laundry

This model is a fine-tuned version of [](https://huggingface.co/) on the massive dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0394
- F1: 0.7983

## 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: 0.001
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 5.4021        | 0.5   | 719   | 4.2520          | 0.1592 |
| 3.5936        | 1.0   | 1438  | 3.0222          | 0.4171 |
| 2.6221        | 1.5   | 2157  | 2.2881          | 0.5433 |
| 2.1941        | 2.0   | 2876  | 2.0383          | 0.6238 |
| 1.8688        | 2.5   | 3595  | 1.7730          | 0.6562 |
| 1.7334        | 3.0   | 4314  | 1.6450          | 0.6885 |
| 1.5359        | 3.5   | 5033  | 1.5398          | 0.7121 |
| 1.4867        | 3.99  | 5752  | 1.4296          | 0.7324 |
| 1.353         | 4.49  | 6471  | 1.3721          | 0.7393 |
| 1.3088        | 4.99  | 7190  | 1.3110          | 0.7530 |
| 1.2006        | 5.49  | 7909  | 1.2633          | 0.7482 |
| 1.1845        | 5.99  | 8628  | 1.2417          | 0.7635 |
| 1.111         | 6.49  | 9347  | 1.2015          | 0.7795 |
| 1.0722        | 6.99  | 10066 | 1.1605          | 0.7813 |
| 1.0121        | 7.49  | 10785 | 1.1383          | 0.7781 |
| 1.018         | 7.99  | 11504 | 1.1024          | 0.7990 |
| 0.9202        | 8.49  | 12223 | 1.0905          | 0.7898 |
| 0.9639        | 8.99  | 12942 | 1.0695          | 0.7967 |
| 0.915         | 9.49  | 13661 | 1.0444          | 0.7935 |
| 0.8743        | 9.99  | 14380 | 1.0394          | 0.7983 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0