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README.md
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---
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license: mit
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---
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- go_emotions
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metrics:
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- f1
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model-index:
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- name: roberta-large-goemotions
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: go_emotions
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type: multilabel_classification
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config: simplified
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split: test
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args: simplified
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metrics:
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- name: F1
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type: f1
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value: 0.51
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Text Classification GoEmotions
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Validation Loss | Accuracy | Precision | Recall | F1 |
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| :-----------: | :---: | :-------------: | :------: | :-------: | :------: | :------: |
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| No log | 1.0 | 0.088978 | 0.404349 | 0.480763 | 0.456827 | 0.444685 |
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| 0.10620 | 2.0 | 0.082806 | 0.411353 | 0.460896 | 0.536386 | 0.486819 |
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| 0.10620 | 3.0 | 0.081338 | 0.420199 | 0.519828 | 0.561297 | 0.522716 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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