mt5-small-summarization – AI Model by hananajiyya | AlphaNeural AI

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mt5-small-summarization

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text2text-generation

generated_from_keras_callback

endpoints_compatible

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mt5-small-summarization

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.9665
Validation Loss: 2.4241
Train Rouge1: 23.5645
Train Rouge2: 8.2413
Train Rougel: 19.7515
Train Rougelsum: 19.9204
Train Gen Len: 19.0
Epoch: 2

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
4.7187	2.6627	19.5921	5.9723	16.6769	16.8456	18.955	0
3.1929	2.4941	21.2334	6.9784	18.2158	18.2062	18.99	1
2.9665	2.4241	23.5645	8.2413	19.7515	19.9204	19.0	2

Framework versions

Transformers 4.19.2
TensorFlow 2.8.2
Datasets 2.2.2
Tokenizers 0.12.1