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DIALOGUE2
SharonTudi/DIALOGUE2
DIALOGUE2 is a text classification model from SharonTudi. 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
- Dec 14, 2023
- Updated
- Jan 9, 2024
- SHA
- 88810d64
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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. -->
DIALOGUE2
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: 0.3422
- Precision: 0.6751
- Recall: 0.6150
- F1: 0.6316
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.3364 | 1.79 | 25 | 0.3800 | 0.6751 | 0.6150 | 0.6316 |
| 0.3019 | 3.57 | 50 | 0.3579 | 0.6751 | 0.6150 | 0.6316 |
| 0.211 | 5.36 | 75 | 0.3417 | 0.6751 | 0.6150 | 0.6316 |
| 0.2035 | 7.14 | 100 | 0.3409 | 0.6751 | 0.6150 | 0.6316 |
| 0.1817 | 8.93 | 125 | 0.3422 | 0.6751 | 0.6150 | 0.6316 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 14, 2023
- Updated
- Jan 9, 2024