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test_trainer
minman32/test_trainer
test_trainer is a machine learning model from minman32. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 2, 2025
- Updated
- Apr 2, 2025
- SHA
- 457f9366
Base models
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_trainer
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4884
- Accuracy: 0.8
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.96 | 6 | 0.5609 | 0.725 |
| No log | 1.92 | 12 | 0.4884 | 0.8 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.6.0+cu124
- Datasets 2.17.1
- Tokenizers 0.15.2
- Type
- bert
- License
- apache-2.0
- Created
- Apr 2, 2025
- Updated
- Apr 2, 2025