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closure_system_door_inne-roberta-base – AI Model by Davincilee | AlphaNeural AI
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Davincilee
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closure_system_door_inne-roberta-base
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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closure_system_door_inne-roberta-base
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6038
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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.3302
1.0
3
1.6837
Framework versions
Transformers 4.19.0
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
