
<!-- 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. -->

# N_bert_twitterfin_padding60model

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: 1.0511
- Accuracy: 0.8911

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5957        | 1.0   | 597   | 0.3652          | 0.8643   |
| 0.322         | 2.0   | 1194  | 0.3316          | 0.8794   |
| 0.2127        | 3.0   | 1791  | 0.4469          | 0.8802   |
| 0.1327        | 4.0   | 2388  | 0.5983          | 0.8798   |
| 0.1008        | 5.0   | 2985  | 0.6930          | 0.8815   |
| 0.0396        | 6.0   | 3582  | 0.7063          | 0.8827   |
| 0.0299        | 7.0   | 4179  | 0.8153          | 0.8827   |
| 0.0214        | 8.0   | 4776  | 0.8951          | 0.8794   |
| 0.023         | 9.0   | 5373  | 0.8829          | 0.8886   |
| 0.0221        | 10.0  | 5970  | 0.8879          | 0.8874   |
| 0.0129        | 11.0  | 6567  | 0.9308          | 0.8823   |
| 0.0079        | 12.0  | 7164  | 0.9553          | 0.8874   |
| 0.012         | 13.0  | 7761  | 0.9391          | 0.8907   |
| 0.0061        | 14.0  | 8358  | 1.0109          | 0.8894   |
| 0.0034        | 15.0  | 8955  | 1.0525          | 0.8811   |
| 0.002         | 16.0  | 9552  | 1.0680          | 0.8874   |
| 0.0023        | 17.0  | 10149 | 1.0690          | 0.8874   |
| 0.0024        | 18.0  | 10746 | 1.0537          | 0.8874   |
| 0.0036        | 19.0  | 11343 | 1.0434          | 0.8899   |
| 0.0024        | 20.0  | 11940 | 1.0511          | 0.8911   |


### 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_padding60model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us