mt5-small-finetuned-amazon-en-es-Resumen-2 – AI Model by OMARS200 | AlphaNeural AI

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OMARS200/
mt5-small-finetuned-amazon-en-es-Resumen-2

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mt5-small-finetuned-amazon-en-es-Resumen-2

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: 3.0910
Rouge1: 16.3799
Rouge2: 7.6088
Rougel: 15.9886
Rougelsum: 16.1691

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
7.004	1.0	1209	3.3408	13.3874	5.2828	12.9812	12.9666
3.9036	2.0	2418	3.2286	15.9158	7.7591	15.2863	15.3932
3.598	3.0	3627	3.1778	16.0628	7.1178	15.1227	15.2487
3.4228	4.0	4836	3.1147	15.9998	7.6239	15.3691	15.4711
3.3212	5.0	6045	3.1049	16.5369	7.743	16.2272	16.3427
3.2658	6.0	7254	3.0974	17.4125	8.0961	17.0223	17.136
3.2105	7.0	8463	3.0911	16.5786	7.7369	16.1889	16.3189
3.184	8.0	9672	3.0910	16.3799	7.6088	15.9886	16.1691

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1