mt5-base-finetuned-v1

This model is a fine-tuned version of google/mt5-base on the Persian News dataset. It achieves the following results on the evaluation set:

• Loss: 1.087988
• Rouge1: 1.2887
• Rouge2: 0.1861
• Rougel: 1.2862
• Rougelsum: 1.2818

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5.6e-05
• train_batch_size: 2
• eval_batch_size: 2
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.223400	1	20437	1.153162	1.0624	0.1351	1.0668	1.0740
1.202900	2	40874	1.086163	1.1579	0.1426	1.1724	1.1599
1.173500	3	61311	1.087988	1.2887	0.1861	1.2862	1.2818

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1