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roberta-large-unlabeled-gab-reddit-semeval2023-task10-57000sample – AI Model by HPL | AlphaNeural AI
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roberta-large-unlabeled-gab-reddit-semeval2023-task10-57000sample
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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-reddit-semeval2023-task10-57000sample
This model is a fine-tuned version of
roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8874
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
2.1999
1.0
3563
2.0576
2.0587
2.0
7126
1.9371
1.9591
3.0
10689
1.8823
1.8652
4.0
14252
1.8874
Framework versions
Transformers 4.13.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.10.3
