---
tags:
- generated_from_trainer
datasets:
- emo
metrics:
- accuracy
model-index:
- name: my_awesome_model
  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: 0.7796333272826285
---

<!-- 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. -->

# my_awesome_model

This model is a fine-tuned version of [](https://huggingface.co/) on the emo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7348
- Accuracy: 0.7796

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1224        | 1.0   | 1885 | 0.7348          | 0.7796   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1