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--- |
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: full-review-clf |
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results: [] |
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datasets: |
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- justina/yelp_boba_reviews |
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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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# full-review-clf |
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on |
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[justina/yelp-boba-reviews](https://huggingface.co/datasets/justina/yelp_boba_reviews) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8198 |
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- F1 Macro: 0.6358 |
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- Aucpr Macro: 0.6658 |
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- Accuracy: 0.7185 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Aucpr Macro | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:| |
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| 0.723 | 0.43 | 500 | 0.7576 | 0.5979 | 0.6652 | 0.6831 | |
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| 0.7307 | 0.87 | 1000 | 0.6862 | 0.6368 | 0.6752 | 0.7185 | |
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| 0.5828 | 1.3 | 1500 | 0.7398 | 0.6439 | 0.6661 | 0.7255 | |
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| 0.6236 | 1.73 | 2000 | 0.7878 | 0.6212 | 0.6690 | 0.7069 | |
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| 0.3739 | 2.16 | 2500 | 0.8138 | 0.6447 | 0.6752 | 0.7170 | |
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| 0.4235 | 2.6 | 3000 | 0.8048 | 0.6490 | 0.6673 | 0.7255 | |
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| 0.3684 | 3.03 | 3500 | 0.9615 | 0.6483 | 0.6715 | 0.7205 | |
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| 0.3243 | 3.46 | 4000 | 1.0931 | 0.6432 | 0.6632 | 0.7235 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
