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bertweet-base_finetuned_olid_b
pigeon-phobia/bertweet-base_finetuned_olid_b
bertweet-base_finetuned_olid_b is a text classification model from pigeon-phobia. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Apr 24, 2023
- Updated
- Apr 24, 2023
- SHA
- 97a89ce0
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bertweet-base_finetuned_olid_b
This model is a fine-tuned version of vinai/bertweet-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4449
- Accuracy: 0.8333
- F1-macro: 0.7114
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-macro |
|---|---|---|---|---|---|
| 0.6556 | 1.0 | 69 | 0.5271 | 0.7542 | 0.6452 |
| 0.5838 | 2.0 | 138 | 0.4723 | 0.7292 | 0.6284 |
| 0.5031 | 3.0 | 207 | 0.4223 | 0.8417 | 0.7258 |
| 0.454 | 4.0 | 276 | 0.4391 | 0.8083 | 0.6855 |
| 0.3966 | 5.0 | 345 | 0.4449 | 0.8333 | 0.7114 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Apr 24, 2023
- Updated
- Apr 24, 2023