t5-small-finetuned-xlsum-chinese-tradition – AI Model by elliotthwang | AlphaNeural AI

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t5-small-finetuned-xlsum-chinese-tradition

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t5-small-finetuned-xlsum-chinese-tradition

This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:

Loss: 1.2061
Rouge1: 0.8887
Rouge2: 0.0671
Rougel: 0.889
Rougelsum: 0.8838
Gen Len: 6.8779

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: 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4231	1.0	2336	1.2586	0.711	0.0528	0.7029	0.7053	7.3368
1.378	2.0	4672	1.2281	0.9688	0.05	0.9574	0.9656	7.0392
1.3567	3.0	7008	1.2182	0.9534	0.1035	0.9531	0.9472	6.7437
1.3339	4.0	9344	1.2096	0.9969	0.0814	0.9969	0.9938	7.4503
1.3537	5.0	11680	1.2072	0.8429	0.0742	0.8372	0.838	6.8049
1.3351	6.0	14016	1.2061	0.8887	0.0671	0.889	0.8838	6.8779

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1