t5-small_finetuned2 – AI Model by HARDYCHEN | AlphaNeural AI

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t5-small_finetuned2

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text2text-generation

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t5-small_finetuned2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2643
Rouge1: 0.0724
Rouge2: 0.0643
Rougel: 0.0724
Rougelsum: 0.0724
Gen Len: 19.0

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
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.304	1.0	18565	0.2865	0.0706	0.062	0.0706	0.0706	19.0
0.291	2.0	37130	0.2726	0.0719	0.0636	0.0719	0.0719	19.0
0.2827	3.0	55695	0.2662	0.0723	0.0641	0.0722	0.0722	19.0
0.2796	4.0	74260	0.2643	0.0724	0.0643	0.0724	0.0724	19.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0