mt5-small-finetuned-amazon-en-es – AI Model by ssiyer | AlphaNeural AI

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ssiyer/
mt5-small-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on the xsum dataset. It achieves the following results on the evaluation set:

Loss: 3.6525
Rouge1: 0.0899
Rouge2: 0.0226
Rougel: 0.0821
Rougelsum: 0.0807

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: 2
eval_batch_size: 2
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
18.5949	1.0	50	8.8110	0.0298	0.0	0.0298	0.0298
10.7742	2.0	100	5.1285	0.087	0.0087	0.0805	0.0796
7.6938	3.0	150	4.3645	0.0684	0.0	0.0579	0.0615
6.3393	4.0	200	4.0164	0.035	0.0	0.0355	0.035
5.9075	5.0	250	3.7881	0.0579	0.0065	0.051	0.0528
5.7394	6.0	300	3.6971	0.0749	0.0226	0.0733	0.0733
5.4246	7.0	350	3.6652	0.0749	0.0226	0.0733	0.0733
5.2963	8.0	400	3.6525	0.0899	0.0226	0.0821	0.0807

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu118
Datasets 2.17.1
Tokenizers 0.15.2