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roberta-imdb – AI Model by jmarcosh | AlphaNeural AI
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jmarcosh
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roberta-imdb
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-imdb
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7386
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.9994
1.0
1530
0.8899
0.8583
2.0
3060
0.7725
0.798
3.0
4590
0.7311
Framework versions
Transformers 4.31.0
Pytorch 2.0.0.post200
Datasets 2.18.0
Tokenizers 0.13.3
