t5-base-finetuned-BBC – AI Model by Mariemre | AlphaNeural AI

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Mariemre/
t5-base-finetuned-BBC

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-finetuned-BBC

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2892
Rouge1: 0.2771
Rouge2: 0.111
Rougel: 0.231
Rougelsum: 0.2309

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: 5.6e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.7463	1.0	826	2.3689	0.2356	0.0735	0.192	0.1923
2.3327	2.0	1652	2.2985	0.26	0.1011	0.217	0.2166
2.1119	3.0	2478	2.2848	0.2751	0.1094	0.2282	0.228
1.9663	4.0	3304	2.2821	0.2769	0.1099	0.2288	0.2287
1.8849	5.0	4130	2.2892	0.2771	0.111	0.231	0.2309

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0