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# N_bert_twitterfin_padding70model

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: 1.0123
- Accuracy: 0.8874

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6186        | 1.0   | 597   | 0.3664          | 0.8647   |
| 0.3355        | 2.0   | 1194  | 0.3325          | 0.8844   |
| 0.2398        | 3.0   | 1791  | 0.4079          | 0.8857   |
| 0.1511        | 4.0   | 2388  | 0.5350          | 0.8911   |
| 0.1077        | 5.0   | 2985  | 0.6086          | 0.8853   |
| 0.0367        | 6.0   | 3582  | 0.6945          | 0.8890   |
| 0.0368        | 7.0   | 4179  | 0.7918          | 0.8844   |
| 0.0283        | 8.0   | 4776  | 0.7927          | 0.8915   |
| 0.0236        | 9.0   | 5373  | 0.7818          | 0.8932   |
| 0.0204        | 10.0  | 5970  | 0.8325          | 0.8932   |
| 0.0168        | 11.0  | 6567  | 0.8979          | 0.8844   |
| 0.0101        | 12.0  | 7164  | 0.9055          | 0.8890   |
| 0.0088        | 13.0  | 7761  | 0.8781          | 0.8936   |
| 0.0054        | 14.0  | 8358  | 0.9046          | 0.8932   |
| 0.0062        | 15.0  | 8955  | 0.8997          | 0.8966   |
| 0.0037        | 16.0  | 9552  | 0.9535          | 0.8903   |
| 0.003         | 17.0  | 10149 | 0.9728          | 0.8915   |
| 0.0022        | 18.0  | 10746 | 1.0253          | 0.8869   |
| 0.0017        | 19.0  | 11343 | 1.0170          | 0.8890   |
| 0.0037        | 20.0  | 11940 | 1.0123          | 0.8874   |


### 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": "N_bert_twitterfin_padding70model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us