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duolingo-sentiment-distillbert – AI Model by rrtxt | AlphaNeural AI
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rrtxt
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duolingo-sentiment-distillbert
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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duolingo-sentiment-distillbert
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: 0.4426
Accuracy: 0.8339
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6773
1.0
900
0.5024
0.8069
0.4393
2.0
1800
0.4426
0.8339
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cpu
Datasets 3.6.0
Tokenizers 0.21.1
