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hbertv1-mini-wt-48-Massive-intent
gokuls/hbertv1-mini-wt-48-Massive-intent
hbertv1-mini-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
- cc3fd342
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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-mini-wt-48-Massive-intent
This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_mini on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.6406
- Accuracy: 0.8544
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 |
|---|---|---|---|---|
| 3.16 | 1.0 | 180 | 2.1089 | 0.4934 |
| 1.6964 | 2.0 | 360 | 1.2208 | 0.6916 |
| 1.1107 | 3.0 | 540 | 0.9116 | 0.7703 |
| 0.8493 | 4.0 | 720 | 0.7717 | 0.8155 |
| 0.692 | 5.0 | 900 | 0.7166 | 0.8155 |
| 0.5849 | 6.0 | 1080 | 0.6754 | 0.8288 |
| 0.5133 | 7.0 | 1260 | 0.6491 | 0.8392 |
| 0.4541 | 8.0 | 1440 | 0.6406 | 0.8451 |
| 0.4074 | 9.0 | 1620 | 0.6346 | 0.8480 |
| 0.3615 | 10.0 | 1800 | 0.6403 | 0.8460 |
| 0.3304 | 11.0 | 1980 | 0.6452 | 0.8446 |
| 0.3021 | 12.0 | 2160 | 0.6390 | 0.8495 |
| 0.2792 | 13.0 | 2340 | 0.6412 | 0.8515 |
| 0.2584 | 14.0 | 2520 | 0.6406 | 0.8544 |
| 0.2483 | 15.0 | 2700 | 0.6394 | 0.8529 |
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