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bert-base-multilingual-cased-hin
FrinzTheCoder/bert-base-multilingual-cased-hin
bert-base-multilingual-cased-hin is a text classification model from FrinzTheCoder. 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 10, 2025
- Updated
- Jan 19, 2025
- SHA
- ab54588f
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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. -->
bert-base-multilingual-cased-hin
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0779
- Accuracy: 0.8538
- F1 Binary: 0.6153
- Precision: 0.5
- Recall: 0.7996
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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 38
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Binary | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 192 | 0.1322 | 0.4255 | 0.3209 | 0.1940 | 0.9287 |
| No log | 2.0 | 384 | 0.1020 | 0.6895 | 0.4169 | 0.2873 | 0.7595 |
| 0.1241 | 3.0 | 576 | 0.0676 | 0.8102 | 0.5560 | 0.4225 | 0.8129 |
| 0.1241 | 4.0 | 768 | 0.0779 | 0.8538 | 0.6153 | 0.5 | 0.7996 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 10, 2025
- Updated
- Jan 19, 2025