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google-bert_bert-base-multilingual-cased_ep10_lr0.0001_batchpergpu16_gpu1
NiGuLa/google-bert_bert-base-multilingual-cased_ep10_lr0.0001_batchpergpu16_gpu1
google-bert_bert-base-multilingual-cased_ep10_lr0.0001_batchpergpu16_gpu1 is a text classification model from NiGuLa. 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
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- c6ffdbd2
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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. -->
google-bert_bert-base-multilingual-cased_ep10_lr0.0001_batchpergpu16_gpu1
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: 0.2372
- F1 Micro: 0.0
- F1 Macro: 0.0
- Exact Match: 0.4943
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
|---|---|---|---|---|---|---|
| 0.2287 | 0.9924 | 131 | 0.2377 | 0.0 | 0.0 | 0.4943 |
| 0.2337 | 1.9848 | 262 | 0.2355 | 0.0 | 0.0 | 0.4943 |
| 0.2426 | 2.9773 | 393 | 0.2386 | 0.5170 | 0.0984 | 0.3258 |
| 0.2575 | 3.9697 | 524 | 0.2358 | 0.0 | 0.0 | 0.4943 |
| 0.2230 | 4.9621 | 655 | 0.2372 | 0.0 | 0.0 | 0.4943 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026