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hbertv1-emotion-logit_KD-tiny
gokuls/hbertv1-emotion-logit_KD-tiny
hbertv1-emotion-logit_KD-tiny 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
- Nov 26, 2023
- Updated
- Nov 26, 2023
- SHA
- aa32a31a
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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-emotion-logit_KD-tiny
This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_tiny_freeze_new on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.4386
- Accuracy: 0.8995
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9341 | 1.0 | 250 | 2.0281 | 0.6225 |
| 1.5579 | 2.0 | 500 | 1.0162 | 0.812 |
| 0.9088 | 3.0 | 750 | 0.6563 | 0.8705 |
| 0.6557 | 4.0 | 1000 | 0.5484 | 0.879 |
| 0.538 | 5.0 | 1250 | 0.4913 | 0.8865 |
| 0.4524 | 6.0 | 1500 | 0.4836 | 0.888 |
| 0.4072 | 7.0 | 1750 | 0.4416 | 0.896 |
| 0.3797 | 8.0 | 2000 | 0.4346 | 0.8905 |
| 0.3426 | 9.0 | 2250 | 0.4386 | 0.8995 |
| 0.3183 | 10.0 | 2500 | 0.4602 | 0.896 |
| 0.2911 | 11.0 | 2750 | 0.4296 | 0.8945 |
| 0.2807 | 12.0 | 3000 | 0.4442 | 0.896 |
| 0.2609 | 13.0 | 3250 | 0.4513 | 0.894 |
| 0.249 | 14.0 | 3500 | 0.4612 | 0.8975 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- hybridbert
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023