mt5-small-finetuned-tradition-zh – AI Model by elliotthwang | AlphaNeural AI

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mt5-small-finetuned-tradition-zh

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mt5-small-finetuned-tradition-zh

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

Loss: 2.9218
Rouge1: 5.7806
Rouge2: 1.266
Rougel: 5.761
Rougelsum: 5.7833

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
4.542	1.0	2336	3.1979	4.8334	1.025	4.8142	4.8326
3.7542	2.0	4672	3.0662	5.2155	1.0978	5.2025	5.2158
3.5706	3.0	7008	3.0070	5.5471	1.3397	5.5386	5.5391
3.4668	4.0	9344	2.9537	5.5865	1.1558	5.5816	5.5964
3.4082	5.0	11680	2.9391	5.8061	1.3462	5.7944	5.812
3.375	6.0	14016	2.9218	5.7806	1.266	5.761	5.7833

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1