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transformers-qa-2 – AI Model by thepriyansh | AlphaNeural AI
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thepriyansh
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transformers-qa-2
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transformers
tf
roberta
question-answering
generated_from_keras_callback
distilbert/distilroberta-base
finetune
apache-2.0
endpoints_compatible
us
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transformers-qa-2
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.9500
Validation Loss: 1.1014
Epoch: 1
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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
1.4034
1.1588
0
0.9500
1.1014
1
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
