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deberta-base-finetuned-wikitext2-kaggle – AI Model by abby101 | AlphaNeural AI
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deberta-base-finetuned-wikitext2-kaggle
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transformers
tensorboard
safetensors
deberta
fill-mask
generated_from_trainer
microsoft/deberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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deberta-base-finetuned-wikitext2-kaggle
This model is a fine-tuned version of
microsoft/deberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4651
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: 16
eval_batch_size: 16
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
3.7156
1.0
1203
3.0922
2.9586
2.0
2406
2.5911
2.6402
3.0
3609
2.4872
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
