t-5_base_extractive_512_750 – AI Model by jgibb | AlphaNeural AI

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jgibb/
t-5_base_extractive_512_750

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t-5_base_extractive_512_750

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

Loss: 1.2627
Rouge1: 0.6597
Rouge2: 0.3836
Rougel: 0.5954
Rougelsum: 0.5953
Wer: 0.5117

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Wer
No log	0.13	250	1.3741	0.6424	0.3616	0.5756	0.5756	0.5348
1.8339	0.27	500	1.3204	0.6501	0.371	0.5847	0.5847	0.5245
1.8339	0.4	750	1.2968	0.6533	0.3761	0.5886	0.5885	0.5192
1.4045	0.53	1000	1.2796	0.6568	0.3798	0.5919	0.5918	0.5161
1.4045	0.66	1250	1.2723	0.6582	0.382	0.5938	0.5937	0.5134
1.3616	0.8	1500	1.2656	0.659	0.3833	0.5947	0.5947	0.5122
1.3616	0.93	1750	1.2627	0.6597	0.3836	0.5954	0.5953	0.5117

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2