metadata

library_name: transformers
base_model: DeepPavlov/rubert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: med-drugs-extraction-b
    results: []

med-drugs-extraction-b

This model is a fine-tuned version of DeepPavlov/rubert-base-cased 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

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.2.0a0+81ea7a4
Datasets 3.0.2
Tokenizers 0.19.1