Bigheadjoshy/ml_document_classification
09
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mldocumentclassification
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1420
- eval_accuracy: 0.7438
- eval_runtime: 3.0534
- evalsamplesper_second: 157.204
- evalstepsper_second: 9.825
- epoch: 1.0
- step: 120
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-06
- trainbatchsize: 16
- evalbatchsize: 16
- seed: 42
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- num_epochs: 20
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0