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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: undersampled-review-clf |
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results: [] |
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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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# undersampled-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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4412 |
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- F1 Macro: 0.7799 |
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- Aucpr Macro: 0.8286 |
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- Accuracy: 0.8464 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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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| 0.9348 | 1.22 | 100 | 0.7286 | 0.6132 | 0.6244 | 0.6962 | |
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| 0.7438 | 2.44 | 200 | 0.7857 | 0.6232 | 0.6215 | 0.6735 | |
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| 0.6275 | 3.66 | 300 | 0.8317 | 0.5976 | 0.6092 | 0.6778 | |
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| 0.5561 | 4.88 | 400 | 0.8176 | 0.6200 | 0.6238 | 0.6868 | |
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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 |
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