t5-small-finetuned-wikihow_3epoch – AI Model by Chikashi | AlphaNeural AI

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Chikashi/
t5-small-finetuned-wikihow_3epoch

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text2text-generation

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text-generation-inference

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t5-small-finetuned-wikihow_3epoch

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

Loss: 2.5163
Rouge1: 25.5784
Rouge2: 8.9929
Rougel: 21.5345
Rougelsum: 24.9382
Gen Len: 18.384

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9421	0.25	5000	2.6545	23.2336	7.5502	19.5899	22.5521	18.4076
2.8411	0.51	10000	2.6103	24.3524	8.2068	20.5238	23.6679	18.2606
2.7983	0.76	15000	2.5836	24.8169	8.4826	20.8765	24.1686	18.3211
2.7743	1.02	20000	2.5627	24.9904	8.5625	21.0344	24.3416	18.3786
2.7452	1.27	25000	2.5508	25.1497	8.6872	21.152	24.4751	18.3524
2.7353	1.53	30000	2.5384	25.2909	8.7408	21.2344	24.629	18.4453
2.7261	1.78	35000	2.5322	25.3748	8.7802	21.312	24.7191	18.3754
2.7266	2.03	40000	2.5265	25.4095	8.8915	21.3871	24.7685	18.4013
2.706	2.29	45000	2.5211	25.4372	8.8926	21.4124	24.7902	18.3776
2.7073	2.54	50000	2.5176	25.4925	8.9668	21.5103	24.8608	18.4303
2.703	2.8	55000	2.5163	25.5784	8.9929	21.5345	24.9382	18.384

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6