---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-fine-tuned-emotions
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-fine-tuned-emotions

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2433
- Acc : 0.9355
- F1 : 0.9356

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.1674        | 1.0   | 250  | 0.1948          | 0.9275 | 0.9267 |
| 0.1185        | 2.0   | 500  | 0.1635          | 0.938  | 0.9380 |
| 0.0998        | 3.0   | 750  | 0.1723          | 0.9345 | 0.9352 |
| 0.0808        | 4.0   | 1000 | 0.1687          | 0.934  | 0.9337 |
| 0.0621        | 5.0   | 1250 | 0.1769          | 0.937  | 0.9368 |
| 0.0511        | 6.0   | 1500 | 0.1927          | 0.933  | 0.9327 |
| 0.0393        | 7.0   | 1750 | 0.2275          | 0.9345 | 0.9348 |
| 0.0323        | 8.0   | 2000 | 0.2338          | 0.932  | 0.9324 |
| 0.0273        | 9.0   | 2250 | 0.2439          | 0.935  | 0.9352 |
| 0.0215        | 10.0  | 2500 | 0.2433          | 0.9355 | 0.9356 |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3