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distilgpt2-finetuned-wikitext2 – AI Model by hm192494 | AlphaNeural AI
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hm192494
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distilgpt2-finetuned-wikitext2
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transformers
tf
tensorboard
roberta
fill-mask
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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hm192494/distilgpt2-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: 6.1414
Validation Loss: 5.4539
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
6.1414
5.4539
0
Framework versions
Transformers 4.19.1
TensorFlow 2.8.0
Datasets 2.2.1
Tokenizers 0.12.1
