mt5-small-finetuned-amazon-en-es

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: 3.1997
• Rouge1: 16.7312
• Rouge2: 8.6607
• Rougel: 16.1846
• Rougelsum: 16.2411

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
7.0772	1.0	1209	3.3307	12.4644	4.0353	12.0167	12.0722
4.0223	2.0	2418	3.2257	15.338	7.0168	14.7769	14.8391
3.8018	3.0	3627	3.1997	16.7312	8.6607	16.1846	16.2411

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6