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--- |
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datasets: |
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- go_emotions |
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language: |
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- en |
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library_name: transformers |
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model-index: |
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- name: text-classification-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: 0.487 |
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--- |
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# Text Classification GoEmotions |
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This model is a fined-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large) on the on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset using [tasinho/text-classification-goemotions](https://huggingface.co/tasinhoque/text-classification-goemotions) as teacher model. |
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# Load the Model |
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```py |
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from transformers import pipeline |
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pipe = pipeline(model='Ngit/MiniLMv2-L6-H384-goemotions-v2', task='text-classification') |
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pipe("I am angry") |
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# [{'label': 'anger', 'score': 0.9722517132759094}] |
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``` |
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# Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 40 |
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# Metrics (comparison with teacher model) |
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| Teacher (params) | Student (params) | Set | Score (teacher) | Score (student) | |
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|--------------------|-------------|----------|--------| --------| |
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| tasinhoque/text-classification-goemotions (355M) | MiniLMv2-L6-H384-goemotions-v2 | Validation | 0.514252 |0.484898 | |
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| tasinhoque/text-classification-goemotions (33M) | MiniLMv2-L6-H384-goemotions-v2 | Test | 0.501937 | 0.486890 | |
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# Training Code, Evaluation & Deployment |
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Check |
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