Total runs:
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Sponsored by
APIMart
abidlabs / transformers-trackio-demo
Model's Last Updated: January 09 2026
text-classification
Introduction of transformers-trackio-demo
Model Details of transformers-trackio-demo
transformers-trackio-demo
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 5.0.0rc2
- Pytorch 2.9.1
- Datasets 4.4.2
- Tokenizers 0.22.2
Runs of abidlabs transformers-trackio-demo on huggingface.co
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24-hour runs
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3-day runs
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7-day runs
0
30-day runs
More Information About transformers-trackio-demo huggingface.co Model
Url of transformers-trackio-demo
transformers-trackio-demo huggingface.co Url
Provider of transformers-trackio-demo huggingface.co
Other API from abidlabs
Updated:September 22 2026
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