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hbertv2-Massive-intent_48_w_in
gokuls/hbertv2-Massive-intent_48_w_in
hbertv2-Massive-intent_48_w_in 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 20, 2023
- Updated
- Jun 20, 2023
- SHA
- 8fe6c844
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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-Massive-intent_48_w_in
This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8743
- Accuracy: 0.8687
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 |
|---|---|---|---|---|
| 1.6541 | 1.0 | 180 | 0.8401 | 0.7796 |
| 0.7252 | 2.0 | 360 | 0.7149 | 0.8175 |
| 0.5019 | 3.0 | 540 | 0.6591 | 0.8396 |
| 0.3604 | 4.0 | 720 | 0.7243 | 0.8190 |
| 0.2653 | 5.0 | 900 | 0.7002 | 0.8465 |
| 0.19 | 6.0 | 1080 | 0.6907 | 0.8470 |
| 0.1458 | 7.0 | 1260 | 0.7161 | 0.8539 |
| 0.1048 | 8.0 | 1440 | 0.7688 | 0.8534 |
| 0.0778 | 9.0 | 1620 | 0.7815 | 0.8613 |
| 0.0551 | 10.0 | 1800 | 0.8321 | 0.8593 |
| 0.0376 | 11.0 | 1980 | 0.8515 | 0.8647 |
| 0.0212 | 12.0 | 2160 | 0.8644 | 0.8652 |
| 0.0154 | 13.0 | 2340 | 0.8743 | 0.8687 |
| 0.0088 | 14.0 | 2520 | 0.8797 | 0.8657 |
| 0.0059 | 15.0 | 2700 | 0.8707 | 0.8677 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Jun 20, 2023
- Updated
- Jun 20, 2023