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Upload TFT5ForConditionalGeneration
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: CIS6930_DAAGR_T5_NoEmo
    results: []

CIS6930_DAAGR_T5_NoEmo

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: 0.3368
  • Train Accuracy: 0.9629
  • Validation Loss: 0.4438
  • Validation Accuracy: 0.9496
  • Epoch: 17

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': 'Adam', '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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
0.5062 0.9405 0.4590 0.9454 0
0.4381 0.9479 0.4477 0.9472 1
0.4249 0.9499 0.4423 0.9481 2
0.4152 0.9513 0.4386 0.9486 3
0.4071 0.9525 0.4365 0.9490 4
0.4000 0.9535 0.4349 0.9493 5
0.3935 0.9545 0.4338 0.9496 6
0.3876 0.9553 0.4337 0.9498 7
0.3816 0.9562 0.4338 0.9498 8
0.3763 0.9571 0.4343 0.9499 9
0.3708 0.9578 0.4338 0.9500 10
0.3657 0.9586 0.4357 0.9498 11
0.3605 0.9593 0.4355 0.9500 12
0.3556 0.9601 0.4370 0.9499 13
0.3507 0.9608 0.4380 0.9499 14
0.3463 0.9615 0.4397 0.9498 15
0.3413 0.9622 0.4427 0.9496 16
0.3368 0.9629 0.4438 0.9496 17

Framework versions

  • Transformers 4.27.4
  • TensorFlow 2.11.0
  • Datasets 2.11.0
  • Tokenizers 0.13.2