mt5-small-finetuned-xlsum-ru-en

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2400
• Rouge1: 18.7928
• Rouge2: 5.4469
• Rougel: 15.5062
• Rougelsum: 15.5249

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.8597	1.0	46096	2.3958	17.6496	4.6706	14.4867	14.4996
2.7599	2.0	92192	2.3019	18.4841	5.2303	15.2467	15.2666
2.6495	3.0	138288	2.2553	18.5736	5.3333	15.3459	15.3694
2.5965	4.0	184384	2.2400	18.7928	5.4469	15.5062	15.5249

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2