---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: emotion-analysis-trans
  results: []
---

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

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0950
- Accuracy: 0.9429
- F1: 0.9433

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.0921        | 1.0   | 5211  | 0.0895          | 0.9418   | 0.9398 |
| 0.0868        | 2.0   | 10422 | 0.0868          | 0.9420   | 0.9407 |
| 0.0824        | 3.0   | 15633 | 0.0896          | 0.9425   | 0.9439 |
| 0.0791        | 4.0   | 20844 | 0.0950          | 0.9429   | 0.9433 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2