Hypert-medical
This model is a fine-tuned version of bert-base-uncased 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: 5e-05
- train_batch_size: 36
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 216
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
Training results
Framework versions
- Transformers 4.21.0
- Pytorch 1.10.1+cu111
- Datasets 2.10.1
- Tokenizers 0.12.1
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