andres-vs/bert-medium-finetuned_Att-Noneg-depth1
06
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bert-medium-finetuned_Att-Noneg-depth1
This model is a fine-tuned version of prajjwal1/bert-medium on an unknown 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: 1e-05
- 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
- lrschedulerwarmup_steps: 100
- num_epochs: 20
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0