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Improved-bert-multilingual-nodropout
Anwaarma/Improved-bert-multilingual-nodropout
Improved-bert-multilingual-nodropout is a text classification model from Anwaarma. 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
- Nov 19, 2023
- Updated
- Nov 19, 2023
- SHA
- 26446090
Try a prompt
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. -->
Improved-bert-multilingual-nodropout
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0144
- Accuracy: 0.76
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6855 | 0.55 | 50 | 0.6606 | 0.61 |
| 0.5737 | 1.1 | 100 | 0.5402 | 0.74 |
| 0.4677 | 1.65 | 150 | 0.5966 | 0.67 |
| 0.3866 | 2.2 | 200 | 0.5778 | 0.69 |
| 0.3414 | 2.75 | 250 | 0.4483 | 0.8 |
| 0.3047 | 3.3 | 300 | 0.7158 | 0.68 |
| 0.2366 | 3.85 | 350 | 0.6137 | 0.77 |
| 0.2188 | 4.4 | 400 | 0.5294 | 0.77 |
| 0.2191 | 4.95 | 450 | 0.6734 | 0.73 |
| 0.1935 | 5.49 | 500 | 0.6588 | 0.8 |
| 0.1707 | 6.04 | 550 | 1.0354 | 0.65 |
| 0.1216 | 6.59 | 600 | 0.9658 | 0.69 |
| 0.1093 | 7.14 | 650 | 1.0317 | 0.69 |
| 0.1099 | 7.69 | 700 | 0.9484 | 0.71 |
| 0.1128 | 8.24 | 750 | 1.0144 | 0.76 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 19, 2023
- Updated
- Nov 19, 2023