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hBERTv2_new_pretrain_48_KD_stsb
gokuls/hBERTv2_new_pretrain_48_KD_stsb
hBERTv2_new_pretrain_48_KD_stsb 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 15, 2023
- Updated
- Jun 15, 2023
- SHA
- 4381eda0
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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_48_KD_stsb
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_48_KD on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2142
- Pearson: 0.2484
- Spearmanr: 0.2374
- Combined Score: 0.2429
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 | Pearson | Spearmanr | Combined Score |
|---|---|---|---|---|---|---|
| 2.3019 | 1.0 | 45 | 2.6041 | 0.1631 | 0.1541 | 0.1586 |
| 2.1689 | 2.0 | 90 | 2.4035 | 0.1451 | 0.1550 | 0.1500 |
| 1.8521 | 3.0 | 135 | 2.2142 | 0.2484 | 0.2374 | 0.2429 |
| 1.6095 | 4.0 | 180 | 2.6155 | 0.2618 | 0.2566 | 0.2592 |
| 1.3325 | 5.0 | 225 | 2.9218 | 0.3160 | 0.3098 | 0.3129 |
| 1.0639 | 6.0 | 270 | 2.2315 | 0.3486 | 0.3476 | 0.3481 |
| 0.8434 | 7.0 | 315 | 2.5364 | 0.3459 | 0.3343 | 0.3401 |
| 0.7193 | 8.0 | 360 | 2.3979 | 0.3661 | 0.3633 | 0.3647 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Languages
- en
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023