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distilbert-base-uncased-finetuned-sst2 – AI Model by centaur31 | AlphaNeural AI | AlphaNeural AI
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centaur31
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distilbert-base-uncased-finetuned-sst2
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pytorch
distilbert
generated_from_trainer
apache-2.0
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distilbert-base-uncased-finetuned-sst2
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: 0.3446
Accuracy: 0.9128
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.18
1.0
4210
0.3150
0.9037
0.1161
2.0
8420
0.3446
0.9128
Framework versions
Transformers 4.28.0
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.13.3
