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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
|