metadata

library_name: transformers
base_model: ai-forever/ruT5-base
tags:
  - generated_from_trainer
model-index:
  - name: pretrain_rugec_msu
    results: []

pretrain_rugec_msu

This model is a fine-tuned version of ai-forever/ruT5-base 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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.45.1
Pytorch 2.0.1+cu118
Datasets 3.0.1
Tokenizers 0.20.0