Natet/rut5_base_sum_gazeta-finetuned_week_gpt

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rut5basesumgazeta-finetunedweek_gpt

This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 2.3331
• —eval_rouge1: 0.0
• —eval_rouge2: 0.0
• —eval_rougeL: 0.0
• —eval_rougeLsum: 0.0
• —eval_runtime: 7.8395
• —evalsamplesper_second: 0.383
• —evalstepsper_second: 0.128
• —step: 0

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: 5.6e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 8

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.15.0