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bert_uncased_L-4_H-256_A-4_rte
gokulsrinivasagan/bert_uncased_L-4_H-256_A-4_rte
bert_uncased_L-4_H-256_A-4_rte is a text classification model from gokulsrinivasagan. 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 4, 2024
- Updated
- Dec 4, 2024
- SHA
- b5c6a4b9
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Base models
Datasets
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_uncased_L-4_H-256_A-4_rte
This model is a fine-tuned version of google/bert_uncased_L-4_H-256_A-4 on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6545
- Accuracy: 0.6318
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6982 | 1.0 | 10 | 0.6899 | 0.5451 |
| 0.6864 | 2.0 | 20 | 0.6845 | 0.5523 |
| 0.6733 | 3.0 | 30 | 0.6737 | 0.5884 |
| 0.6495 | 4.0 | 40 | 0.6554 | 0.5884 |
| 0.61 | 5.0 | 50 | 0.6573 | 0.6101 |
| 0.5697 | 6.0 | 60 | 0.6545 | 0.6318 |
| 0.5279 | 7.0 | 70 | 0.6648 | 0.6354 |
| 0.4859 | 8.0 | 80 | 0.6778 | 0.6173 |
| 0.4524 | 9.0 | 90 | 0.6933 | 0.6137 |
| 0.4126 | 10.0 | 100 | 0.6992 | 0.6245 |
| 0.386 | 11.0 | 110 | 0.7181 | 0.6426 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Dec 4, 2024
- Updated
- Dec 4, 2024