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mask-langauge-modeling – AI Model by Hemg | AlphaNeural AI
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Hemg
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mask-langauge-modeling
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
eli5_category
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mask-langauge-modeling
This model is a fine-tuned version of
distilroberta-base
on the eli5_category dataset. It achieves the following results on the evaluation set:
Loss: 2.8290
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: 0.0003
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.4564
1.0
721
2.8947
2.2249
2.0
1442
2.7831
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
