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scenario-TCR-data-glue-qqp-model-bert-base-uncased
haryoaw/scenario-TCR-data-glue-qqp-model-bert-base-uncased
scenario-TCR-data-glue-qqp-model-bert-base-uncased is a text classification model from haryoaw. 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
- Jan 8, 2024
- Updated
- Jan 10, 2024
- SHA
- 5a1ccf79
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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. -->
scenario-TCR-data-glue-qqp-model-bert-base-uncased
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: 0.4116
- Accuracy: 0.8662
- F1: 0.8200
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2706 | 1.0 | 11370 | 0.2609 | 0.8919 | 0.8607 |
| 0.2235 | 2.0 | 22740 | 0.2489 | 0.8961 | 0.8603 |
| 0.1795 | 3.0 | 34110 | 0.3085 | 0.8962 | 0.8639 |
| 0.1498 | 4.0 | 45481 | 0.3036 | 0.8970 | 0.8653 |
| 0.1351 | 5.0 | 56851 | 0.3373 | 0.8953 | 0.8613 |
| 0.1417 | 6.0 | 68221 | 0.3182 | 0.8901 | 0.8503 |
| 0.1448 | 7.0 | 79591 | 0.4288 | 0.8837 | 0.8434 |
| 0.177 | 8.0 | 90962 | 0.3822 | 0.8778 | 0.8321 |
| 0.3083 | 9.0 | 102332 | 0.4116 | 0.8662 | 0.8200 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 8, 2024
- Updated
- Jan 10, 2024