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Paraphrase_mBERT_onfull_V2
Abhi964/Paraphrase_mBERT_onfull_V2
Paraphrase_mBERT_onfull_V2 is a text classification model from Abhi964. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- d52ef01e
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Base models
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. -->
Paraphrase_mBERT_onfull_V2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3916
- Accuracy: 0.846
- F1: 0.8459
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: 1.128541231805303e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4024 | 1.0 | 313 | 0.4086 | 0.819 | 0.8188 |
| 0.3593 | 2.0 | 626 | 0.4172 | 0.8265 | 0.8259 |
| 0.2725 | 3.0 | 939 | 0.3916 | 0.846 | 0.8459 |
| 0.2771 | 4.0 | 1252 | 0.5387 | 0.8365 | 0.8357 |
| 0.193 | 5.0 | 1565 | 0.5619 | 0.8375 | 0.8372 |
| 0.1166 | 6.0 | 1878 | 0.6137 | 0.842 | 0.8419 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025