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hBERTv2_new_pretrain_w_init_48_mrpc
gokuls/hBERTv2_new_pretrain_w_init_48_mrpc
hBERTv2_new_pretrain_w_init_48_mrpc 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 6, 2023
- SHA
- 689d878e
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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. -->
hBERTv2_new_pretrain_w_init_48_mrpc
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5938
- Accuracy: 0.6961
- F1: 0.7912
- Combined Score: 0.7437
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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.6532 | 1.0 | 29 | 0.6271 | 0.6838 | 0.8072 | 0.7455 |
| 0.6168 | 2.0 | 58 | 0.5971 | 0.6814 | 0.8060 | 0.7437 |
| 0.5766 | 3.0 | 87 | 0.5938 | 0.6961 | 0.7912 | 0.7437 |
| 0.5304 | 4.0 | 116 | 0.6174 | 0.7059 | 0.8039 | 0.7549 |
| 0.4622 | 5.0 | 145 | 0.6873 | 0.6789 | 0.7753 | 0.7271 |
| 0.3228 | 6.0 | 174 | 0.7267 | 0.6887 | 0.7894 | 0.7391 |
| 0.2028 | 7.0 | 203 | 0.9771 | 0.7010 | 0.7875 | 0.7442 |
| 0.1406 | 8.0 | 232 | 1.1768 | 0.6789 | 0.7714 | 0.7252 |
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 6, 2023