deed-summarization_version_5 – AI Model by Hasanur525 | AlphaNeural AI

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Hasanur525/
deed-summarization_version_5

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text2text-generation

generated_from_trainer

csebuetnlp/mT5_multilingual_XLSum

endpoints_compatible

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deed-summarization_version_5

This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2110
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 72.0323

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: 2e-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
lr_scheduler_warmup_steps: 5000
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.5903	1.0	232	3.5371	0.0	0.0	0.0	0.0	35.1659
2.577	2.0	464	2.2487	0.0	0.0	0.0	0.0	49.875
1.6168	3.0	696	1.8681	0.0	0.0	0.0	0.0	58.2522
1.7148	4.0	928	1.6086	0.0	0.0	0.0	0.0	56.8362
1.9433	5.0	1160	1.3949	0.0	0.0	0.0	0.0	62.3427
1.6744	6.0	1392	1.2110	0.0	0.0	0.0	0.0	72.0323

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1