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: 9.2585
• Rouge1: 6.1835
• Rouge2: 0.0
• Rougel: 5.8333
• Rougelsum: 6.1835

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
24.1065	1.0	11	32.7123	7.342	1.5385	7.1515	7.342
22.6474	2.0	22	19.7137	6.1039	0.0	5.7143	6.1039
16.319	3.0	33	12.8543	6.1039	0.0	5.7143	6.1039
16.3224	4.0	44	10.1929	5.9524	0.0	5.7143	5.9524
15.0599	5.0	55	9.9186	5.9524	0.0	5.7143	5.9524
14.6053	6.0	66	9.3235	6.1835	0.0	5.8333	6.1835
14.4345	7.0	77	9.1621	6.1835	0.0	5.8333	6.1835
13.7973	8.0	88	9.2585	6.1835	0.0	5.8333	6.1835

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1