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HBERTv1_48_L6_H768_A12_massive
gokuls/HBERTv1_48_L6_H768_A12_massive
HBERTv1_48_L6_H768_A12_massive 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 4, 2023
- Updated
- Oct 4, 2023
- SHA
- af03e637
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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. -->
HBERTv1_48_L6_H768_A12_massive
This model is a fine-tuned version of gokuls/HBERTv1_48_L6_H768_A12 on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8228
- Accuracy: 0.8628
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 33
- 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 |
|---|---|---|---|---|
| 1.8011 | 1.0 | 180 | 0.8508 | 0.7678 |
| 0.712 | 2.0 | 360 | 0.7073 | 0.8121 |
| 0.463 | 3.0 | 540 | 0.6127 | 0.8426 |
| 0.3124 | 4.0 | 720 | 0.6141 | 0.8416 |
| 0.2196 | 5.0 | 900 | 0.6738 | 0.8431 |
| 0.1592 | 6.0 | 1080 | 0.7337 | 0.8387 |
| 0.1209 | 7.0 | 1260 | 0.7453 | 0.8411 |
| 0.0803 | 8.0 | 1440 | 0.7655 | 0.8460 |
| 0.0552 | 9.0 | 1620 | 0.7871 | 0.8495 |
| 0.0452 | 10.0 | 1800 | 0.7842 | 0.8598 |
| 0.027 | 11.0 | 1980 | 0.8228 | 0.8628 |
| 0.0149 | 12.0 | 2160 | 0.8452 | 0.8564 |
| 0.0085 | 13.0 | 2340 | 0.8708 | 0.8554 |
| 0.0052 | 14.0 | 2520 | 0.8564 | 0.8623 |
| 0.0033 | 15.0 | 2700 | 0.8652 | 0.8588 |
Framework versions
- Transformers 4.34.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Oct 4, 2023
- Updated
- Oct 4, 2023