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MarBERT-finetuned-fnd
lamaabdulaziz/MarBERT-finetuned-fnd
MarBERT-finetuned-fnd is a text classification model from lamaabdulaziz. 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
- bert
- Access
- Public
- Created
- Feb 22, 2023
- Updated
- Mar 22, 2023
- SHA
- f6f79ef5
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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. -->
MarBERT-finetuned-fnd
This model is a fine-tuned version of UBC-NLP/MARBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5055
- Macro F1: 0.7456
- Accuracy: 0.7624
- Precision: 0.7607
- Recall: 0.7402
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: 16
- eval_batch_size: 32
- seed: 25
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5335 | 1.0 | 1419 | 0.4917 | 0.7417 | 0.7504 | 0.7418 | 0.7416 |
| 0.3827 | 2.0 | 2838 | 0.5055 | 0.7456 | 0.7624 | 0.7607 | 0.7402 |
| 0.2637 | 3.0 | 4257 | 0.6907 | 0.7454 | 0.7579 | 0.7511 | 0.7422 |
Framework versions
- Transformers 4.12.2
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Feb 22, 2023
- Updated
- Mar 22, 2023