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distilroberta-base-finetuned-wikitext2-3 – AI Model by zhengudaoer | AlphaNeural AI
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zhengudaoer
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distilroberta-base-finetuned-wikitext2-3
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-wikitext2-3
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3820
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:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.603
1.0
6673
1.5493
1.47
2.0
13346
1.4406
1.4113
3.0
20019
1.3893
Framework versions
Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2