mt5-small-finetuned-multilingual-xlsum-new – AI Model by CarryNid | AlphaNeural AI

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CarryNid/
mt5-small-finetuned-multilingual-xlsum-new

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text2text-generation

multilingual model

generated_from_trainer

endpoints_compatible

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mt5-small-finetuned-multilingual-xlsum-new

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: 2.7673
Rouge1: 9.1368
Rouge2: 2.3893
Rougel: 7.6599
Rougelsum: 7.6873

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
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.7827	1.0	1687	2.8911	8.1314	1.9569	6.7927	6.8179
3.6518	2.0	3374	2.8338	8.6621	2.1437	7.2171	7.246
3.3691	3.0	5061	2.8015	8.9402	2.2733	7.4744	7.497
3.4435	4.0	6748	2.7746	9.0514	2.3627	7.6144	7.6358
3.5139	5.0	8435	2.7673	9.1368	2.3893	7.6599	7.6873

Framework versions

Transformers 4.21.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1