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roberta-base-unlabeled-gab-semeval2023-task10-45000samplesample – AI Model by HPL | AlphaNeural AI
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roberta-base-unlabeled-gab-semeval2023-task10-45000samplesample
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-unlabeled-gab-semeval2023-task10-45000samplesample
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1441
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.4294
1.0
1407
2.2323
2.3091
2.0
2814
2.1470
2.23
3.0
4221
2.1767
2.1866
4.0
5628
2.1625
2.171
5.0
7035
2.1441
Framework versions
Transformers 4.13.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.10.3
