mt5-small-finetuned-xsum

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

• Loss: nan
• Rouge1: 3.7492
• Rouge2: 0.397
• Rougel: 3.4272
• Rougelsum: 3.4336
• Gen Len: 5.7219

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: 16
• eval_batch_size: 16
• 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	12753	nan	3.7492	0.397	3.4272	3.4336	5.7219

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.11.0