rut5_base_sum_gazeta-finetuned_week_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
• eval_samples_per_second: 0.383
• eval_steps_per_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
• 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: 8

Framework versions

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