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bert-base-multilingual-uncased-sentiment-finetuned-mnli
edogenna/bert-base-multilingual-uncased-sentiment-finetuned-mnli
bert-base-multilingual-uncased-sentiment-finetuned-mnli is a text classification model from edogenna. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- May 20, 2024
- Updated
- May 21, 2024
- SHA
- b14c55e2
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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-uncased-sentiment-finetuned-mnli
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5330
- Accuracy: 0.7902
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.5568 | 1.0 | 1080 | 0.5330 | 0.7902 |
| 0.4713 | 2.0 | 2160 | 0.5633 | 0.7875 |
| 0.3791 | 3.0 | 3240 | 0.6680 | 0.7824 |
| 0.2967 | 4.0 | 4320 | 0.8067 | 0.7624 |
| 0.2121 | 5.0 | 5400 | 0.9723 | 0.7624 |
| 0.1511 | 6.0 | 6480 | 1.1602 | 0.7629 |
| 0.1277 | 7.0 | 7560 | 1.4037 | 0.7736 |
| 0.0931 | 8.0 | 8640 | 1.5388 | 0.7675 |
| 0.0768 | 9.0 | 9720 | 2.0003 | 0.7330 |
| 0.0457 | 10.0 | 10800 | 1.8301 | 0.7756 |
| 0.0383 | 11.0 | 11880 | 1.9697 | 0.7701 |
| 0.0286 | 12.0 | 12960 | 2.0533 | 0.7756 |
| 0.0175 | 13.0 | 14040 | 2.2299 | 0.7594 |
| 0.0101 | 14.0 | 15120 | 2.1549 | 0.7749 |
| 0.0055 | 15.0 | 16200 | 2.2199 | 0.7703 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- May 20, 2024
- Updated
- May 21, 2024