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distilroberta-mbfc-bias-4class – AI Model by valurank | AlphaNeural AI
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valurank
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distilroberta-mbfc-bias-4class
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transformers
pytorch
roberta
text-classification
generated_from_trainer
other
autotrain_compatible
endpoints_compatible
us
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distilroberta-mbfc-bias-4class
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5336
Acc: 0.8503
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 12345
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 16
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Acc
0.488
1.0
584
0.3702
0.8519
0.3544
2.0
1168
0.3531
0.8575
0.3602
3.0
1752
0.3068
0.8896
0.2555
4.0
2336
0.3560
0.8715
0.1695
5.0
2920
0.3896
0.8704
0.117
6.0
3504
0.5336
0.8503
Framework versions
Transformers 4.11.3
Pytorch 1.10.1
Datasets 1.17.0
Tokenizers 0.10.3
