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: 3.0255
• Rouge1: 17.5202
• Rouge2: 8.4634
• Rougel: 17.0175
• Rougelsum: 17.0528

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
8.094	1.0	1209	3.2933	12.7563	5.2606	12.4786	12.4961
3.9263	2.0	2418	3.1487	16.2314	8.4716	15.6854	15.7506
3.599	3.0	3627	3.0789	16.9233	8.1928	16.2596	16.2522
3.429	4.0	4836	3.0492	17.2679	8.7561	16.6685	16.7399
3.3279	5.0	6045	3.0384	17.6081	8.6721	17.0546	17.0368
3.2518	6.0	7254	3.0343	17.2271	8.504	16.6285	16.6209
3.2084	7.0	8463	3.0255	16.7859	8.054	16.2574	16.2853
3.1839	8.0	9672	3.0255	17.5202	8.4634	17.0175	17.0528

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0+cu111
• Datasets 1.18.3
• Tokenizers 0.11.6