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: 3.0349
• Rouge1: 17.111
• Rouge2: 8.39
• Rougel: 16.7227
• Rougelsum: 16.7209

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
7.3401	1.0	1209	3.3465	14.0925	6.2495	13.7784	13.9647
3.9195	2.0	2418	3.1859	16.0052	8.1545	15.4495	15.5175
3.5975	3.0	3627	3.0945	17.4726	9.0998	16.9741	17.1364
3.4241	4.0	4836	3.0913	16.3822	7.7661	15.852	15.9198
3.3252	5.0	6045	3.0588	16.6252	8.1458	16.1867	16.2189
3.2442	6.0	7254	3.0444	17.1532	8.4258	16.7123	16.7598
3.2149	7.0	8463	3.0355	17.4131	8.7262	17.0104	17.0702
3.184	8.0	9672	3.0349	17.111	8.39	16.7227	16.7209

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3