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bert-base-uncased-finetuned-iemocap7
Zahra99/bert-base-uncased-finetuned-iemocap7
bert-base-uncased-finetuned-iemocap7 is a text classification model from Zahra99. 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
- Feb 22, 2023
- Updated
- Feb 22, 2023
- SHA
- 10d86d5a
Try a prompt
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-iemocap7
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9200
- Accuracy: 0.6712
- F1: 0.6795
It achieves the following results on the test set:
- Loss: 0.9468
- Accuracy: 0.67
- F1: 0.673
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: 4.319412088241492e-05
- train_batch_size: 64
- eval_batch_size: 32
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 51 | 1.0573 | 0.5412 | 0.5456 |
| 1.036 | 2.0 | 102 | 0.9216 | 0.6188 | 0.6267 |
| 1.036 | 3.0 | 153 | 0.9002 | 0.6625 | 0.6681 |
| 0.4819 | 4.0 | 204 | 0.8928 | 0.6663 | 0.6731 |
| 0.4819 | 5.0 | 255 | 0.9200 | 0.6712 | 0.6795 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 22, 2023
- Updated
- Feb 22, 2023