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scenario-TCR-data-glue-mnli-model-bert-base-uncased
haryoaw/scenario-TCR-data-glue-mnli-model-bert-base-uncased
scenario-TCR-data-glue-mnli-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 10, 2024
- Updated
- Jan 10, 2024
- SHA
- 0cfa29fc
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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-mnli-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: 0.6907
- Accuracy: 0.8122
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 |
|---|---|---|---|---|
| 0.4847 | 1.0 | 12272 | 0.4750 | 0.8151 |
| 0.3944 | 2.0 | 24544 | 0.4706 | 0.8239 |
| 0.3149 | 3.0 | 36816 | 0.5100 | 0.8205 |
| 0.2725 | 4.0 | 49088 | 0.5834 | 0.8097 |
| 0.2276 | 5.0 | 61360 | 0.6134 | 0.8178 |
| 0.197 | 6.0 | 73632 | 0.6380 | 0.8147 |
| 0.1808 | 7.0 | 85904 | 0.6907 | 0.8122 |
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 10, 2024
- Updated
- Jan 10, 2024