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distilroberta-base-finetuned-wikitext2 – AI Model by hangzou | AlphaNeural AI
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hangzou
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distilroberta-base-finetuned-wikitext2
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transformers
safetensors
roberta
fill-mask
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8828
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: 64
eval_batch_size: 64
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
No log
1.0
301
1.9451
2.1463
2.0
602
1.9068
2.1463
3.0
903
1.9079
Framework versions
Transformers 4.37.2
Pytorch 2.1.0
Datasets 2.16.1
Tokenizers 0.15.1
