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mini-phobert-v3 – AI Model by keepitreal | AlphaNeural AI
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mini-phobert-v3
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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mini-phobert-v3
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0510
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: 64
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
Training results
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
