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hBERTv2_new_pretrain_48_ver2_mrpc
gokuls/hBERTv2_new_pretrain_48_ver2_mrpc
hBERTv2_new_pretrain_48_ver2_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
- Oct 18, 2023
- Updated
- Oct 18, 2023
- SHA
- 7f24e220
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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. -->
hBERTv2_new_pretrain_48_ver2_mrpc
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_48 on the GLUE MRPC dataset. It achieves the following results on the evaluation set:
- Loss: 0.5864
- Accuracy: 0.6961
- F1: 0.7832
- Combined Score: 0.7396
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: 64
- eval_batch_size: 64
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.664 | 1.0 | 58 | 0.6194 | 0.6716 | 0.7481 | 0.7098 |
| 0.6055 | 2.0 | 116 | 0.5864 | 0.6961 | 0.7832 | 0.7396 |
| 0.5319 | 3.0 | 174 | 0.6058 | 0.6838 | 0.7772 | 0.7305 |
| 0.4447 | 4.0 | 232 | 0.7045 | 0.6667 | 0.7679 | 0.7173 |
| 0.3601 | 5.0 | 290 | 0.7750 | 0.6642 | 0.7609 | 0.7126 |
| 0.2754 | 6.0 | 348 | 1.0176 | 0.6789 | 0.7813 | 0.7301 |
| 0.1895 | 7.0 | 406 | 1.4308 | 0.6299 | 0.7229 | 0.6764 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023