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phobert-base-finetuned-imdb – AI Model by MadridMaverick | AlphaNeural AI
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phobert-base-finetuned-imdb
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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phobert-base-finetuned-imdb
This model is a fine-tuned version of
vinai/phobert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2510
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.7146
1.0
2500
1.4245
1.3821
2.0
5000
1.2666
1.3308
3.0
7500
1.2564
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
