mt5-base-wikinewssum-italian

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

• Loss: 10.5739
• Rouge1: 2.1728
• Rouge2: 0.1516
• Rougel: 2.0846
• Rougelsum: 2.0515

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	8	16.6193	2.4011	0.3829	2.1505	2.2161
No log	2.0	16	15.8909	2.5165	0.2799	2.3403	2.3523
No log	3.0	24	15.4843	2.2794	0.2252	2.1849	2.1382
17.2559	4.0	32	13.0850	2.2448	0.1516	2.1426	2.0859
17.2559	5.0	40	11.7838	2.2448	0.1516	2.1426	2.0859
17.2559	6.0	48	11.3207	2.2424	0.1516	2.1423	2.1171
17.2559	7.0	56	10.7871	2.1081	0.1516	2.0227	1.9838
14.6026	8.0	64	10.5739	2.1728	0.1516	2.0846	2.0515

Framework versions

• Transformers 4.13.0
• Pytorch 1.10.1
• Datasets 1.16.1
• Tokenizers 0.10.3