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anhdt-dsai-02/
mt0

Name: mt0
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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mt0

This model is a fine-tuned version of bigscience/mt0-base on the Multi-Document Vietnamese dataset. It achieves the following results on the evaluation set:

Loss: 0.7265121936798096
Rouge-1: 0.2592
Rouge-2: 0.1412
Rouge-4: 0.0788
Rouge-l: 0.2212
Rouge-w-1.2: 0.0901
Rouge-s4: 0.1056
Rouge-su4: 0.1323
R: 0.1982
P: 0.3745
Bleu: 10.0657

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-4	Rouge-l	Rouge-w-1.2	Rouge-s4	Rouge-su4	R	P	Bleu
17.8707	1.0	628	15.0238	0.1453	0.078	0.0336	0.1293	0.0477	0.0524	0.0682	0.0838	0.5448	2.131
0.9125	2.0	1256	0.8100	0.2335	0.1331	0.0727	0.2029	0.0739	0.0978	0.1211	0.148	0.5531	6.1757
0.8117	3.0	1884	0.7965	0.2785	0.1583	0.0898	0.2429	0.0949	0.1195	0.1469	0.1994	0.4618	11.2862
0.881	4.0	2512	0.7945	0.2816	0.1597	0.0897	0.2457	0.0975	0.1195	0.1475	0.2099	0.4276	10.3668

Framework versions

Transformers 4.26.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

anhdt-dsai-02/mt0

mt0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

anhdt-dsai-02/
mt0