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hbertv1-massive-no_pretrain
gokuls/hbertv1-massive-no_pretrain
hbertv1-massive-no_pretrain 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 17, 2023
- Updated
- Nov 17, 2023
- SHA
- f4dfd1b9
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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-massive-no_pretrain
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7963
- Accuracy: 0.8195
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 |
|---|---|---|---|---|
| 1.6019 | 1.0 | 4000 | 0.7731 | 0.8096 |
| 0.8901 | 2.0 | 8000 | 0.7850 | 0.8141 |
| 0.6831 | 3.0 | 12000 | 0.7963 | 0.8195 |
| 0.5502 | 4.0 | 16000 | 0.8432 | 0.8190 |
| 0.4555 | 5.0 | 20000 | 0.8560 | 0.8180 |
| 0.3814 | 6.0 | 24000 | 0.9761 | 0.7964 |
| 0.3224 | 7.0 | 28000 | 0.9966 | 0.8052 |
| 0.277 | 8.0 | 32000 | 1.0567 | 0.8037 |
| 0.2388 | 9.0 | 36000 | 1.1149 | 0.8087 |
| 0.2066 | 10.0 | 40000 | 1.1988 | 0.8032 |
| 0.1785 | 11.0 | 44000 | 1.2350 | 0.8028 |
| 0.1533 | 12.0 | 48000 | 1.3315 | 0.8037 |
| 0.1329 | 13.0 | 52000 | 1.4839 | 0.8023 |
| 0.1153 | 14.0 | 56000 | 1.5399 | 0.8018 |
| 0.0994 | 15.0 | 60000 | 1.5967 | 0.7998 |
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 17, 2023
- Updated
- Nov 17, 2023