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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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base_model: roberta-large |
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model-index: |
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- name: roberta-large-go-emotions-3 |
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results: |
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- task: |
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type: text-classification |
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name: 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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- type: f1 |
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value: 0.5204 |
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name: F1 |
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- task: |
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type: text-classification |
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name: 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: validation |
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args: simplified |
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metrics: |
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- type: f1 |
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value: 0.5208 |
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name: F1 |
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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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# roberta-large-go-emotions-2 |
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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. It achieves the following results on the test set (with a threshold of 0.15): |
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- Accuracy: 0.4363 |
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- Precision: 0.4955 |
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- Recall: 0.5655 |
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- F1: 0.5204 |
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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: 6 |
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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 | 0.0889 | 0.4043 | 0.4807 | 0.4568 | 0.4446 | |
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| 0.1062 | 2.0 | 0.0828 | 0.4113 | 0.4608 | 0.5363 | 0.4868 | |
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| 0.1062 | 3.0 | 0.0813 | 0.4201 | 0.5198 | 0.5612 | 0.5227 | |
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| No log | 4.0 | 0.0862 | 0.4292 | 0.5012 | 0.5558 | 0.5208 | |
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| 0.0597 | 5.0 | 0.0924 | 0.4329 | 0.5164 | 0.5362 | 0.5151 | |
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| 0.0597 | 6.0 | 0.0956 | 0.4445 | 0.5241 | 0.5328 | 0.5161 | |
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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 |
