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hbertv1-tiny-wt-48-Massive-intent
gokuls/hbertv1-tiny-wt-48-Massive-intent
hbertv1-tiny-wt-48-Massive-intent 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
- Jul 21, 2023
- Updated
- Jul 21, 2023
- SHA
- b2dd5113
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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-tiny-wt-48-Massive-intent
This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_tiny on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8676
- Accuracy: 0.7723
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 |
|---|---|---|---|---|
| 3.7161 | 1.0 | 180 | 3.1936 | 0.2499 |
| 2.8544 | 2.0 | 360 | 2.3660 | 0.4058 |
| 2.2122 | 3.0 | 540 | 1.8566 | 0.5430 |
| 1.7979 | 4.0 | 720 | 1.5269 | 0.6370 |
| 1.5083 | 5.0 | 900 | 1.3016 | 0.6911 |
| 1.3044 | 6.0 | 1080 | 1.1672 | 0.7098 |
| 1.1652 | 7.0 | 1260 | 1.0709 | 0.7270 |
| 1.0703 | 8.0 | 1440 | 1.0045 | 0.7432 |
| 0.996 | 9.0 | 1620 | 0.9595 | 0.7511 |
| 0.9323 | 10.0 | 1800 | 0.9276 | 0.7550 |
| 0.8832 | 11.0 | 1980 | 0.9183 | 0.7565 |
| 0.8521 | 12.0 | 2160 | 0.8953 | 0.7649 |
| 0.8246 | 13.0 | 2340 | 0.8829 | 0.7649 |
| 0.8072 | 14.0 | 2520 | 0.8676 | 0.7723 |
| 0.7947 | 15.0 | 2700 | 0.8657 | 0.7708 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Jul 21, 2023
- Updated
- Jul 21, 2023