---
license: apache-2.0
base_model: bhadresh-savani/distilbert-base-uncased-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 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. -->

# emotion

This model is a fine-tuned version of [bhadresh-savani/distilbert-base-uncased-emotion](https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3358
- Accuracy: 0.4667

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2664        | 1.0   | 15   | 1.4388          | 0.4      |
| 1.4542        | 2.0   | 30   | 1.3942          | 0.4      |
| 1.2951        | 3.0   | 45   | 1.3433          | 0.4      |
| 1.1394        | 4.0   | 60   | 1.3303          | 0.4667   |
| 1.0582        | 5.0   | 75   | 1.3358          | 0.4667   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.0
- Tokenizers 0.13.3