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bert-base-multilingual-cased-mnli-100
tmnam20/bert-base-multilingual-cased-mnli-100
bert-base-multilingual-cased-mnli-100 is a text classification model from tmnam20. 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 16, 2024
- Updated
- Jan 16, 2024
- SHA
- bda098c8
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Datasets
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. -->
bert-base-multilingual-cased-mnli-100
This model is a fine-tuned version of bert-base-multilingual-cased on the tmnam20/VieGLUE/MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.5343
- Accuracy: 0.8063
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: 32
- eval_batch_size: 16
- seed: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.62 | 0.41 | 5000 | 0.6193 | 0.7459 |
| 0.5923 | 0.81 | 10000 | 0.5911 | 0.7610 |
| 0.5136 | 1.22 | 15000 | 0.5670 | 0.7808 |
| 0.4927 | 1.63 | 20000 | 0.5558 | 0.7852 |
| 0.4425 | 2.04 | 25000 | 0.5809 | 0.7844 |
| 0.4301 | 2.44 | 30000 | 0.5546 | 0.7940 |
| 0.4017 | 2.85 | 35000 | 0.5565 | 0.7963 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024