mt5-base-wikinewssum-all-languages – AI Model by airKlizz | AlphaNeural AI

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airKlizz/
mt5-base-wikinewssum-all-languages

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text2text-generation

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mt5-base-wikinewssum-all-languages

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

Loss: 2.2454
Rouge1: 8.3826
Rouge2: 3.5524
Rougel: 6.8656
Rougelsum: 7.8362

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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
No log	1.0	3467	2.4034	8.0363	3.2484	6.5409	7.477
No log	2.0	6934	2.3276	8.1054	3.2905	6.5765	7.5687
No log	3.0	10401	2.2976	8.169	3.4272	6.6597	7.6435
No log	4.0	13868	2.2795	8.2941	3.5353	6.7881	7.7664
2.8057	5.0	17335	2.2621	8.3302	3.5599	6.8238	7.7928
2.8057	6.0	20802	2.2547	8.3818	3.5886	6.8672	7.844
2.8057	7.0	24269	2.2472	8.3809	3.5696	6.8575	7.8327
2.8057	8.0	27736	2.2454	8.3826	3.5524	6.8656	7.8362

Framework versions

Transformers 4.13.0
Pytorch 1.10.1
Datasets 1.16.1
Tokenizers 0.10.3