NikitaKukuzey/Urukhan_based

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