---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
  results: []
---

<!-- 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-base-uncased-finetuned-emotion

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an mteb/emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1803
- Accuracy: 0.94
- F1: 0.9400

## 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 | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5017        | 1.0   | 250  | 0.2116          | 0.9295   | 0.9305 |
| 0.1763        | 2.0   | 500  | 0.1617          | 0.936    | 0.9369 |
| 0.1267        | 3.0   | 750  | 0.1492          | 0.9385   | 0.9386 |
| 0.0979        | 4.0   | 1000 | 0.1495          | 0.9395   | 0.9392 |
| 0.0787        | 5.0   | 1250 | 0.1602          | 0.935    | 0.9349 |
| 0.067         | 6.0   | 1500 | 0.1588          | 0.9405   | 0.9401 |
| 0.0557        | 7.0   | 1750 | 0.1675          | 0.9415   | 0.9413 |
| 0.0452        | 8.0   | 2000 | 0.1764          | 0.937    | 0.9365 |
| 0.0375        | 9.0   | 2250 | 0.1765          | 0.9405   | 0.9406 |
| 0.0337        | 10.0  | 2500 | 0.1803          | 0.94     | 0.9400 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3