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roberta-large-unlabeled-gab-semeval2023-task10-45000sample – AI Model by HPL | AlphaNeural AI
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roberta-large-unlabeled-gab-semeval2023-task10-45000sample
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-large-unlabeled-gab-semeval2023-task10-45000sample
This model is a fine-tuned version of
roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8859
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: 32
eval_batch_size: 8
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
2.1552
1.0
1407
1.9502
1.9918
2.0
2814
1.8859
Framework versions
Transformers 4.13.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.10.3
