---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emo
metrics:
- accuracy
model-index:
- name: finetuning-sentiment-model-emo-4
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: emo
      type: emo
      config: emo2019
      split: test
      args: emo2019
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.882
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuning-sentiment-model-emo-4

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3929
- Accuracy: 0.882
- F1 Score: 0.8928

## 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: 2

### Training results



### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3