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# bert_twitterfin_padding100model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0383
- Accuracy: 0.8869

## 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: 2e-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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6101        | 1.0   | 597   | 0.3786          | 0.8618   |
| 0.3341        | 2.0   | 1194  | 0.3280          | 0.8781   |
| 0.23          | 3.0   | 1791  | 0.4172          | 0.8781   |
| 0.138         | 4.0   | 2388  | 0.5795          | 0.8844   |
| 0.1119        | 5.0   | 2985  | 0.6322          | 0.8807   |
| 0.0504        | 6.0   | 3582  | 0.7185          | 0.8798   |
| 0.0374        | 7.0   | 4179  | 0.7900          | 0.8786   |
| 0.0371        | 8.0   | 4776  | 0.7836          | 0.8790   |
| 0.0256        | 9.0   | 5373  | 0.7867          | 0.8832   |
| 0.0232        | 10.0  | 5970  | 0.8910          | 0.8861   |
| 0.0228        | 11.0  | 6567  | 0.8978          | 0.8832   |
| 0.0134        | 12.0  | 7164  | 0.8992          | 0.8840   |
| 0.0086        | 13.0  | 7761  | 0.9213          | 0.8903   |
| 0.0123        | 14.0  | 8358  | 0.9328          | 0.8899   |
| 0.0055        | 15.0  | 8955  | 0.9661          | 0.8869   |
| 0.0028        | 16.0  | 9552  | 0.9949          | 0.8899   |
| 0.0029        | 17.0  | 10149 | 1.0184          | 0.8857   |
| 0.0046        | 18.0  | 10746 | 1.0291          | 0.8890   |
| 0.0014        | 19.0  | 11343 | 1.0393          | 0.8878   |
| 0.0015        | 20.0  | 11940 | 1.0383          | 0.8869   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert_twitterfin_padding100model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us