
<!-- 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. -->

# distilbert-base-uncased_emotion_ft_0416

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1393
- Accuracy: 0.94
- F1: 0.9403
- Precision: 0.9166

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
| 0.8           | 1.0   | 250  | 0.2633          | 0.9135   | 0.9135 | 0.8805    |
| 0.2057        | 2.0   | 500  | 0.1635          | 0.93     | 0.9297 | 0.9091    |
| 0.138         | 3.0   | 750  | 0.1451          | 0.9365   | 0.9365 | 0.9081    |
| 0.1118        | 4.0   | 1000 | 0.1393          | 0.94     | 0.9403 | 0.9166    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1", "precision"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased_emotion_ft_0416", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion", "config": "split", "split": "validation", "args": "split"}, "metrics": [{"type": "accuracy", "value": 0.94, "name": "Accuracy"}, {"type": "f1", "value": 0.9402864319636265, "name": "F1"}, {"type": "precision", "value": 0.9166325933185958, "name": "Precision"}]}]}]}
transformers safetensors distilbert text-classification generated_from_trainer dataset:emotion base_model:distilbert-base-uncased model-index autotrain_compatible endpoints_compatible region:us