metadata

license: apache-2.0
base_model: Rocketknight1/t5-small-finetuned-xsum
tags:
  - generated_from_keras_callback
model-index:
  - name: salmaafifi98/t5-small-finetuned-xsum
    results: []

salmaafifi98/t5-small-finetuned-xsum

This model is a fine-tuned version of Rocketknight1/t5-small-finetuned-xsum on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.5775
Validation Loss: 2.3341
Train Rouge1: 30.2930
Train Rouge2: 9.1969
Train Rougel: 24.0331
Train Rougelsum: 24.0378
Train Gen Len: 18.7949
Epoch: 0

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
2.5775	2.3341	30.2930	9.1969	24.0331	24.0378	18.7949	0

Framework versions

Transformers 4.38.2
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2