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roberta-base-bne-finetuned-multi-sentiment
juliowaissman/roberta-base-bne-finetuned-multi-sentiment
roberta-base-bne-finetuned-multi-sentiment is a text classification model from juliowaissman. 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
- roberta
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023
- SHA
- 5d3c8ada
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Base models
Datasets
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. -->
roberta-base-bne-finetuned-multi-sentiment
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the multilingual-sentiments dataset. It achieves the following results on the evaluation set:
- Loss: 0.7635
- Accuracy: 0.7222
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6192 | 1.0 | 115 | 0.6712 | 0.7099 |
| 0.217 | 2.0 | 230 | 0.7635 | 0.7222 |
Framework versions
- Transformers 4.35.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Nov 9, 2023
- Updated
- Nov 9, 2023