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bert-base-multilingual-uncased-sentiment
JoseLuis95/bert-base-multilingual-uncased-sentiment
bert-base-multilingual-uncased-sentiment is a text classification model from JoseLuis95. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- May 28, 2024
- SHA
- 48a9edb4
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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
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2373
- Accuracy: 0.4444
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 428 | 2.8524 | 0.3076 |
| 0.3941 | 2.0 | 856 | 2.3726 | 0.5602 |
| 0.1962 | 3.0 | 1284 | 3.2373 | 0.4444 |
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
- Created
- Jan 26, 2024
- Updated
- May 28, 2024