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test_trainer2
KhaZix0827/test_trainer2
test_trainer2 is a text classification model from KhaZix0827. 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
- bert
- Access
- Public
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023
- SHA
- 6d10bad0
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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. -->
test_trainer2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1032
- Accuracy: 0.9767
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 306 | 0.1599 | 0.9558 |
| 0.1259 | 2.0 | 612 | 0.1144 | 0.9779 |
| 0.1259 | 3.0 | 918 | 0.1032 | 0.9767 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.0+cu116
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023