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results – AI Model by VictorZhu | AlphaNeural AI
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results
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1194
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
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.1428
1.0
510
0.1347
0.0985
2.0
1020
0.1189
0.0763
3.0
1530
0.1172
0.0646
4.0
2040
0.1194
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu102
Datasets 2.2.2
Tokenizers 0.12.1
