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distilbert-base-uncased__sst2__all-train – AI Model by SetFit | AlphaNeural AI
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distilbert-base-uncased__sst2__all-train
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased__sst2__all-train
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: 0.2496
Accuracy: 0.8962
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3643
1.0
433
0.2496
0.8962
0.196
2.0
866
0.2548
0.9110
0.0915
3.0
1299
0.4483
0.8957
0.0505
4.0
1732
0.4968
0.9044
Framework versions
Transformers 4.15.0
Pytorch 1.10.1+cu102
Datasets 1.17.0
Tokenizers 0.10.3
