mt5-small-news – AI Model by lljllll2219 | AlphaNeural AI

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lljllll2219/
mt5-small-news

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-news

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

Loss: 3.5993
Rouge1: 0.6403
Rouge2: 0.0
Rougel: 0.5176
Rougelsum: 0.5002

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: 8
eval_batch_size: 8
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
4.3726	1.0	179	3.6312	0.4669	0.1401	0.5602	0.5602
4.1516	2.0	358	3.6174	0.6225	0.0	0.4869	0.5002
4.0	3.0	537	3.6233	0.6225	0.0	0.4869	0.5002
3.874	4.0	716	3.6360	0.6403	0.0	0.5176	0.5002
3.8063	5.0	895	3.6360	0.6225	0.0	0.4869	0.5002
4.0795	6.0	1074	3.6032	0.6225	0.0	0.5135	0.5135
4.0419	7.0	1253	3.6022	0.6403	0.0	0.5176	0.5002
4.0311	8.0	1432	3.5993	0.6403	0.0	0.5176	0.5002

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1