t5-small-finetuned-t5-epoch5 – AI Model by Seungjun | AlphaNeural AI

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t5-small-finetuned-t5-epoch5

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t5-small-finetuned-t5-epoch5

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

Loss: 1.5359
Rouge1: 29.8849
Rouge2: 17.4399
Rougel: 26.3643
Rougelsum: 28.3764
Gen Len: 18.9869

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9706	1.0	765	1.6150	28.6734	16.3753	25.3	27.2566	18.983
1.759	2.0	1530	1.5689	29.4543	16.9803	25.9821	27.9832	18.9895
1.731	3.0	2295	1.5487	29.694	17.2806	26.2035	28.2027	18.9836
1.7108	4.0	3060	1.5389	29.9064	17.4929	26.4006	28.3983	18.9876
1.7045	5.0	3825	1.5359	29.8849	17.4399	26.3643	28.3764	18.9869

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Tokenizers 0.13.2