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inisw08-RoBERT-mlm-adamw_torch_bs16 – AI Model by ugiugi | AlphaNeural AI
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inisw08-RoBERT-mlm-adamw_torch_bs16
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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inisw08-RoBERT-mlm-adamw_torch_bs16
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.2486
Accuracy: 0.3717
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: 32
eval_batch_size: 32
seed: 42
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 4.31.0.dev0
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.11.0
