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hBERTv1_new_pretrain_wnli
gokuls/hBERTv1_new_pretrain_wnli
hBERTv1_new_pretrain_wnli is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- hybridbert
- Access
- Public
- Created
- May 31, 2023
- Updated
- Jun 6, 2023
- SHA
- 0cffc6df
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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. -->
hBERTv1_new_pretrain_wnli
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.6852
- Accuracy: 0.5634
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: 4e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8538 | 1.0 | 5 | 0.6975 | 0.4366 |
| 0.7194 | 2.0 | 10 | 0.6922 | 0.5634 |
| 0.7223 | 3.0 | 15 | 0.6893 | 0.5634 |
| 0.713 | 4.0 | 20 | 0.7205 | 0.4366 |
| 0.7081 | 5.0 | 25 | 0.6865 | 0.5634 |
| 0.7028 | 6.0 | 30 | 0.7048 | 0.4366 |
| 0.697 | 7.0 | 35 | 0.6852 | 0.5634 |
| 0.7002 | 8.0 | 40 | 0.6967 | 0.4366 |
| 0.7017 | 9.0 | 45 | 0.7156 | 0.4366 |
| 0.702 | 10.0 | 50 | 0.6885 | 0.5634 |
| 0.6945 | 11.0 | 55 | 0.6927 | 0.4930 |
| 0.7002 | 12.0 | 60 | 0.6922 | 0.4648 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- May 31, 2023
- Updated
- Jun 6, 2023