metadata

base_model: UrukHan/t5-russian-summarization
tags:
  - generated_from_trainer
model-index:
  - name: Lomonosov-t5
    results: []

Lomonosov-t5

This model is a fine-tuned version of UrukHan/t5-russian-summarization on the Gazeta dataset. It achieves the following results on the evaluation set:

eval_loss: 1.5822
eval_rouge1: 12.4365
eval_rouge2: 2.3859
eval_rougeL: 12.4889
eval_rougeLsum: 12.4796
eval_gen_len: 15.7862
eval_runtime: 46.8578
eval_samples_per_second: 10.18
eval_steps_per_second: 0.64
epoch: 1.18
step: 10000

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1