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BERTovoSENTNEG2
Tanor/BERTovoSENTNEG2
BERTovoSENTNEG2 is a text classification model from Tanor. 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
- roberta
- Access
- Public
- Created
- Jul 7, 2023
- Updated
- Sep 9, 2023
- SHA
- 8354019b
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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. -->
BERTovoSENTNEG2
This model is a fine-tuned version of Tanor/BERTicovoSENTNEG2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0599
- F1: 0.5
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: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.99 | 47 | 0.0505 | 0.2143 |
| No log | 2.0 | 95 | 0.0449 | 0.5957 |
| No log | 2.99 | 142 | 0.0454 | 0.5714 |
| No log | 4.0 | 190 | 0.0531 | 0.4889 |
| No log | 4.99 | 237 | 0.0599 | 0.5 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 7, 2023
- Updated
- Sep 9, 2023