
<!-- 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. -->

# distilbert_sst5_padding60model

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: 4.1071
- Accuracy: 0.5005

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2904        | 1.0   | 534   | 1.2735          | 0.4204   |
| 1.0348        | 2.0   | 1068  | 1.1222          | 0.5217   |
| 0.8515        | 3.0   | 1602  | 1.1982          | 0.5172   |
| 0.6867        | 4.0   | 2136  | 1.3441          | 0.5018   |
| 0.5308        | 5.0   | 2670  | 1.5426          | 0.4964   |
| 0.396         | 6.0   | 3204  | 1.7466          | 0.5032   |
| 0.3113        | 7.0   | 3738  | 1.9661          | 0.4959   |
| 0.2237        | 8.0   | 4272  | 2.3050          | 0.4882   |
| 0.1863        | 9.0   | 4806  | 2.4120          | 0.5068   |
| 0.1458        | 10.0  | 5340  | 2.7065          | 0.4950   |
| 0.1202        | 11.0  | 5874  | 3.0306          | 0.4900   |
| 0.1124        | 12.0  | 6408  | 3.1912          | 0.5041   |
| 0.0838        | 13.0  | 6942  | 3.3632          | 0.5050   |
| 0.0798        | 14.0  | 7476  | 3.6172          | 0.4968   |
| 0.0475        | 15.0  | 8010  | 3.7530          | 0.4973   |
| 0.0436        | 16.0  | 8544  | 3.7669          | 0.5014   |
| 0.0302        | 17.0  | 9078  | 3.9727          | 0.5023   |
| 0.0223        | 18.0  | 9612  | 4.0368          | 0.5054   |
| 0.0236        | 19.0  | 10146 | 4.0607          | 0.5077   |
| 0.0247        | 20.0  | 10680 | 4.1071          | 0.5005   |


### 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": "distilbert_sst5_padding60model", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us