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distilroberta-base-finetuned-wikitext2 – AI Model by zhu0311 | AlphaNeural AI
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zhu0311
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distilroberta-base-finetuned-wikitext2
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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zhu0311/distilroberta-base-finetuned-wikitext2
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: 66.3573
Validation Loss: 34.5699
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
Epoch
66.3573
34.5699
0
Framework versions
Transformers 4.40.0.dev0
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
