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distilroberta-base-finetuned-wikitext2 – AI Model by TimSuh | AlphaNeural AI
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TimSuh
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distilroberta-base-finetuned-wikitext2
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transformers
tensorboard
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 an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8349
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
2.082
1.0
2406
1.9339
1.9833
2.0
4812
1.8850
1.9422
3.0
7218
1.8349
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
