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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: emotion_classification |
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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: go_emotions |
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config: simplified |
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split: validation |
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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: 0.38517334250011687 |
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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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# emotion_classification |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the go_emotions dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6119 |
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- F1: 0.3852 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 313 | 1.8826 | 0.1762 | |
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| 2.1614 | 2.0 | 626 | 1.6738 | 0.3442 | |
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| 2.1614 | 3.0 | 939 | 1.6119 | 0.3852 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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