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: 3.0393
• Rouge1: 17.2936
• Rouge2: 8.0678
• Rougel: 16.8129
• Rougelsum: 16.9991

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
6.6665	1.0	1209	3.2917	13.912	5.595	13.2984	13.4171
3.8961	2.0	2418	3.1711	16.2845	8.6033	15.5509	15.7383
3.5801	3.0	3627	3.0917	17.316	8.122	16.697	16.773
3.4258	4.0	4836	3.0583	16.1347	7.7829	15.6475	15.7804
3.3154	5.0	6045	3.0573	17.5918	8.7349	17.0537	17.2216
3.2438	6.0	7254	3.0479	17.2294	8.0383	16.8141	16.9858
3.2024	7.0	8463	3.0377	17.2918	8.139	16.8178	16.9671
3.1745	8.0	9672	3.0393	17.2936	8.0678	16.8129	16.9991

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.2
• Tokenizers 0.11.0