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# N_distilbert_twitterfin_padding70model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1840
- Accuracy: 0.8710

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6627        | 1.0   | 597   | 0.4320          | 0.8333   |
| 0.3929        | 2.0   | 1194  | 0.3928          | 0.8702   |
| 0.2842        | 3.0   | 1791  | 0.4073          | 0.8735   |
| 0.1957        | 4.0   | 2388  | 0.5194          | 0.8731   |
| 0.153         | 5.0   | 2985  | 0.6178          | 0.8677   |
| 0.0865        | 6.0   | 3582  | 0.5854          | 0.8735   |
| 0.074         | 7.0   | 4179  | 0.7719          | 0.8723   |
| 0.047         | 8.0   | 4776  | 0.8159          | 0.8681   |
| 0.0411        | 9.0   | 5373  | 0.8288          | 0.8664   |
| 0.032         | 10.0  | 5970  | 0.9074          | 0.8702   |
| 0.0183        | 11.0  | 6567  | 0.9545          | 0.8660   |
| 0.0148        | 12.0  | 7164  | 0.9468          | 0.8631   |
| 0.0174        | 13.0  | 7761  | 1.0534          | 0.8656   |
| 0.0136        | 14.0  | 8358  | 1.0688          | 0.8731   |
| 0.0105        | 15.0  | 8955  | 1.1460          | 0.8631   |
| 0.0069        | 16.0  | 9552  | 1.1063          | 0.8664   |
| 0.0049        | 17.0  | 10149 | 1.1268          | 0.8673   |
| 0.0059        | 18.0  | 10746 | 1.1523          | 0.8668   |
| 0.0034        | 19.0  | 11343 | 1.1657          | 0.8702   |
| 0.001         | 20.0  | 11940 | 1.1840          | 0.8710   |


### 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": "distilbert-base-uncased", "model-index": [{"name": "N_distilbert_twitterfin_padding70model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us