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roebrta-base-val-test – AI Model by Emanuel | AlphaNeural AI
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Emanuel
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roebrta-base-val-test
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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language-modeling
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4229
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: tpu
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.16.0.dev0
Pytorch 1.8.1+cu102
Datasets 1.13.3
Tokenizers 0.10.3
