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hBERTv1_new_pretrain_w_init_48_mnli
gokuls/hBERTv1_new_pretrain_w_init_48_mnli
hBERTv1_new_pretrain_w_init_48_mnli 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
- Jun 6, 2023
- Updated
- Jun 7, 2023
- SHA
- aeaca5b2
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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_w_init_48_mnli
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.8954
- Accuracy: 0.5911
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 |
|---|---|---|---|---|
| 1.031 | 1.0 | 3068 | 0.9883 | 0.4718 |
| 0.9713 | 2.0 | 6136 | 0.9752 | 0.5146 |
| 0.9588 | 3.0 | 9204 | 0.9702 | 0.5167 |
| 0.953 | 4.0 | 12272 | 0.9590 | 0.5355 |
| 0.9323 | 5.0 | 15340 | 0.9371 | 0.5416 |
| 0.9068 | 6.0 | 18408 | 0.9213 | 0.5590 |
| 0.8891 | 7.0 | 21476 | 0.9168 | 0.5608 |
| 0.8741 | 8.0 | 24544 | 0.9472 | 0.5453 |
| 0.8589 | 9.0 | 27612 | 0.9185 | 0.5793 |
| 0.8432 | 10.0 | 30680 | 0.9134 | 0.5747 |
| 0.8289 | 11.0 | 33748 | 0.9139 | 0.5753 |
| 0.8137 | 12.0 | 36816 | 0.9113 | 0.5767 |
| 0.7988 | 13.0 | 39884 | 0.8925 | 0.5917 |
| 0.7828 | 14.0 | 42952 | 0.9037 | 0.5859 |
| 0.7705 | 15.0 | 46020 | 0.9129 | 0.5866 |
| 0.7576 | 16.0 | 49088 | 0.9237 | 0.5879 |
| 0.7463 | 17.0 | 52156 | 0.9212 | 0.5897 |
| 0.7341 | 18.0 | 55224 | 0.9226 | 0.5918 |
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
- Jun 6, 2023
- Updated
- Jun 7, 2023