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bert-large-mnli
TehranNLP-org/bert-large-mnli
bert-large-mnli is a text classification model from TehranNLP-org. 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
- Jan 19, 2023
- Updated
- Jan 19, 2023
- SHA
- a9a1a734
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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. -->
42
This model is a fine-tuned version of bert-large-uncased on the MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.8447
- Accuracy: 0.8634
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: not_parallel
- 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 |
|---|---|---|---|---|
| 0.4274 | 1.0 | 12272 | 0.3892 | 0.8524 |
| 0.2844 | 2.0 | 24544 | 0.4079 | 0.8565 |
| 0.1589 | 3.0 | 36816 | 0.5033 | 0.8527 |
| 0.0877 | 4.0 | 49088 | 0.6624 | 0.8576 |
| 0.0426 | 5.0 | 61360 | 0.8447 | 0.8634 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 2.7.1
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 19, 2023
- Updated
- Jan 19, 2023