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: 3.0340
• Rouge1: 17.354
• Rouge2: 8.4787
• Rougel: 17.1305
• Rougelsum: 17.0075

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
7.0197	1.0	1209	3.3037	13.683	5.3875	13.0828	13.1122
3.9145	2.0	2418	3.1418	15.5264	7.4742	14.8131	14.7471
3.5987	3.0	3627	3.0970	17.4004	8.5468	16.8991	16.8763
3.4274	4.0	4836	3.0672	16.7503	7.9732	16.2399	16.1352
3.3241	5.0	6045	3.0648	16.6407	8.1366	16.4552	16.3217
3.2468	6.0	7254	3.0444	17.2806	8.6183	17.0437	16.8567
3.2116	7.0	8463	3.0370	17.6282	8.6565	17.2977	17.2007
3.1821	8.0	9672	3.0340	17.354	8.4787	17.1305	17.0075

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3