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bert-base-uncased-finetuned-humordetection
thanawan/bert-base-uncased-finetuned-humordetection
bert-base-uncased-finetuned-humordetection is a text classification model from thanawan. 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
- Apr 20, 2022
- Updated
- Apr 21, 2022
- SHA
- 63863e23
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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-uncased-finetuned-humordetection
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3136
- F1: 0.9586
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 375 | 0.1768 | 0.9507 |
| 0.2266 | 2.0 | 750 | 0.1910 | 0.9553 |
| 0.08 | 3.0 | 1125 | 0.2822 | 0.9529 |
| 0.0194 | 4.0 | 1500 | 0.2989 | 0.9560 |
| 0.0194 | 5.0 | 1875 | 0.3136 | 0.9586 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 20, 2022
- Updated
- Apr 21, 2022