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Training in progress epoch 7
265dbf4
metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: LucaReggiani/t5-small-nlpfinalproject77-xsum
    results: []

LucaReggiani/t5-small-nlpfinalproject77-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: 4.5603
  • Validation Loss: 4.3567
  • Train Rouge1: 13.1331
  • Train Rouge2: 1.6382
  • Train Rougel: 11.1522
  • Train Rougelsum: 11.1925
  • Train Gen Len: 18.61
  • Epoch: 7

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': 'SGD', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.01, 'momentum': 0.9, 'nesterov': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Rouge1 Train Rouge2 Train Rougel Train Rougelsum Train Gen Len Epoch
3.7711 3.2050 21.4378 3.8309 16.8638 16.8461 17.91 0
3.6104 3.6987 19.2609 3.2385 15.7661 15.7653 18.53 1
4.0072 3.5355 18.1665 3.2252 14.8050 14.7179 17.72 2
3.7558 3.3357 20.2834 3.3265 15.8726 15.8640 18.41 3
3.5929 3.2442 21.7618 4.0454 16.9764 16.9738 18.32 4
4.2933 4.5266 11.2148 0.9346 9.6743 9.6997 18.14 5
4.6557 4.4097 10.1267 0.9146 9.0568 9.0328 18.95 6
4.5603 4.3567 13.1331 1.6382 11.1522 11.1925 18.61 7

Framework versions

  • Transformers 4.26.1
  • TensorFlow 2.11.0
  • Datasets 2.9.0
  • Tokenizers 0.13.2