mt5-base-finetuned-xsum-mlsum___summary_text_google_mt5_base

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

• Loss: nan
• Rouge1: 8.9973
• Rouge2: 0.9036
• Rougel: 7.6699
• Rougelsum: 7.716
• Gen Len: 10.2326

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	66592	nan	8.9973	0.9036	7.6699	7.716	10.2326

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1