med-lab-extraction
This model is a fine-tuned version of kazzand/ru-longformer-large-4096 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for iliyararupzhanov/med-lab-extraction
Base model
kazzand/ru-longformer-large-4096