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roberta-base-finetuned-wikitext2 – AI Model by SaimaAyub | AlphaNeural AI
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SaimaAyub
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roberta-base-finetuned-wikitext2
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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SaimaAyub/roberta-base-finetuned-wikitext2
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.5061
Validation Loss: 1.4342
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': '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
Epoch
1.5537
1.4617
0
1.5061
1.4342
1
Framework versions
Transformers 4.40.1
TensorFlow 2.15.0
Datasets 2.19.0
Tokenizers 0.19.1
