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: nan
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.0	1.0	1209	nan	0.0	0.0	0.0	0.0
0.0	2.0	2418	nan	0.0	0.0	0.0	0.0
0.0	3.0	3627	nan	0.0	0.0	0.0	0.0
0.0	4.0	4836	nan	0.0	0.0	0.0	0.0
0.0	5.0	6045	nan	0.0	0.0	0.0	0.0
0.0	6.0	7254	nan	0.0	0.0	0.0	0.0
0.0	7.0	8463	nan	0.0	0.0	0.0	0.0
0.0	8.0	9672	nan	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3