---
license: apache-2.0
base_model: funnel-transformer/small
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: emotion_funnel-transformer
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: emotion
      type: emotion
      config: split
      split: validation
      args: split
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.918
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# emotion_funnel-transformer

This model is a fine-tuned version of [funnel-transformer/small](https://huggingface.co/funnel-transformer/small) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2210
- Accuracy: 0.918

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 250  | 0.4164          | 0.863    |
| 0.6384        | 2.0   | 500  | 0.2493          | 0.911    |
| 0.6384        | 3.0   | 750  | 0.2227          | 0.9225   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2