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SimpleDataset – AI Model by DioLiu | AlphaNeural AI
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DioLiu
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SimpleDataset
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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SimpleDataset
This model is a fine-tuned version of
distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6762
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
No log
1.0
4
3.3454
No log
2.0
8
3.8818
No log
3.0
12
3.6762
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1
