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# bert_twitterfin_padding40model

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: 1.1063
- Accuracy: 0.8819

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7718        | 1.0   | 597   | 0.4637          | 0.8208   |
| 0.4046        | 2.0   | 1194  | 0.3366          | 0.8765   |
| 0.2833        | 3.0   | 1791  | 0.3967          | 0.8836   |
| 0.1856        | 4.0   | 2388  | 0.5273          | 0.8790   |
| 0.1388        | 5.0   | 2985  | 0.6270          | 0.8786   |
| 0.0609        | 6.0   | 3582  | 0.7756          | 0.8585   |
| 0.0517        | 7.0   | 4179  | 0.7692          | 0.8773   |
| 0.0324        | 8.0   | 4776  | 0.7837          | 0.8798   |
| 0.031         | 9.0   | 5373  | 0.8253          | 0.8773   |
| 0.0253        | 10.0  | 5970  | 0.8893          | 0.8823   |
| 0.0133        | 11.0  | 6567  | 0.9943          | 0.8802   |
| 0.0119        | 12.0  | 7164  | 0.9277          | 0.8786   |
| 0.0148        | 13.0  | 7761  | 1.0189          | 0.8836   |
| 0.0051        | 14.0  | 8358  | 1.0542          | 0.8790   |
| 0.005         | 15.0  | 8955  | 1.0600          | 0.8802   |
| 0.0055        | 16.0  | 9552  | 1.0521          | 0.8794   |
| 0.0052        | 17.0  | 10149 | 1.0653          | 0.8777   |
| 0.0021        | 18.0  | 10746 | 1.0891          | 0.8832   |
| 0.002         | 19.0  | 11343 | 1.1045          | 0.8811   |
| 0.0039        | 20.0  | 11940 | 1.1063          | 0.8819   |


### 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_padding40model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us