iliyararupzhanov's picture
med_ner
eeab3a7 verified
|
raw
history blame
1.17 kB
metadata
library_name: transformers
base_model: ai-forever/ruRoberta-large
tags:
  - generated_from_trainer
model-index:
  - name: med-drugs-extraction-c
    results: []

med-drugs-extraction-c

This model is a fine-tuned version of ai-forever/ruRoberta-large 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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.2.0a0+81ea7a4
  • Datasets 3.0.1
  • Tokenizers 0.20.1