mt5_thaisum_model – AI Model by Mayypeeya | AlphaNeural AI

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Mayypeeya/
mt5_thaisum_model

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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mt5_thaisum_model

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

Loss: 0.3039
Rouge1: 0.2017
Rouge2: 0.0806
Rougel: 0.2016
Rougelsum: 0.2017
Gen Len: 18.9995

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: 0.0002
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
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0742	1.0	5000	0.3272	0.1713	0.055	0.1703	0.1716	18.9945
1.7874	2.0	10000	0.3073	0.194	0.0742	0.1942	0.194	18.997
1.6341	3.0	15000	0.3035	0.2002	0.0804	0.1999	0.2002	19.0
1.4501	4.0	20000	0.3039	0.2017	0.0806	0.2016	0.2017	18.9995

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3