rut5_base_sum_gazeta-finetuned-mlsum

This model is a fine-tuned version of IlyaGusev/rut5_base_sum_gazeta on the mlsum 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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	13	3.4842	10.3333	0.0	10.3333	10.3333	78.7

Framework versions

• Transformers 4.29.1
• Pytorch 2.0.1+cpu
• Datasets 2.12.0
• Tokenizers 0.13.3