t5-small-finetuned-xsum – AI Model by hasan-mr | AlphaNeural AI

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hasan-mr/
t5-small-finetuned-xsum

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text2text-generation

generated_from_keras_callback

google-t5/t5-small

endpoints_compatible

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hasan-mr/t5-small-finetuned-xsum

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

Train Loss: 2.4714
Validation Loss: 2.3108
Train Rouge1: 19.8577
Train Rouge2: 9.8769
Train Rougel: 16.9223
Train Rougelsum: 18.4092
Train Gen Len: 19.0
Epoch: 3

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.7851	2.5023	15.0390	5.8132	12.5782	13.5865	19.0	0
2.6216	2.4086	19.5309	9.3236	16.5987	17.9409	19.0	1
2.5328	2.3538	19.7729	9.7316	16.9347	18.2866	19.0	2
2.4714	2.3108	19.8577	9.8769	16.9223	18.4092	19.0	3

Framework versions

Transformers 4.34.0
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.14.1