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# roberta-base-go-emotions

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the go_emotions dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0842
- Accuracy: 0.4783
- Precision: 0.5044
- Recall: 0.4484
- F1: 0.4542

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 1357 | 0.0924          | 0.4598   | 0.4627    | 0.3734 | 0.3871 |
| 0.1062        | 2.0   | 2714 | 0.0853          | 0.4736   | 0.4734    | 0.4352 | 0.4399 |
| 0.1062        | 3.0   | 4071 | 0.0842          | 0.4783   | 0.5044    | 0.4484 | 0.4542 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["go_emotions"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-go-emotions", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "go_emotions", "type": "go_emotions", "config": "simplified", "split": "validation", "args": "simplified"}, "metrics": [{"type": "accuracy", "value": 0.4782528566162919, "name": "Accuracy"}, {"type": "precision", "value": 0.5044359630691674, "name": "Precision"}, {"type": "recall", "value": 0.4484000236829123, "name": "Recall"}, {"type": "f1", "value": 0.45416481472584946, "name": "F1"}]}]}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer dataset:go_emotions base_model:roberta-base license:mit model-index autotrain_compatible endpoints_compatible region:us has_space