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edos-2023-baseline-distilbert-base-uncased-label_sexist – AI Model by lct-rug-2022 | AlphaNeural AI
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lct-rug-2022
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edos-2023-baseline-distilbert-base-uncased-label_sexist
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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edos-2023-baseline-distilbert-base-uncased-label_sexist
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4852
F1: 0.7874
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.4199
1.14
400
0.3911
0.7571
0.293
2.29
800
0.3778
0.7899
0.2348
3.43
1200
0.4102
0.7894
0.1895
4.57
1600
0.4417
0.7835
0.1392
5.71
2000
0.4852
0.7874
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
