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distilbert-uncased-senti – AI Model by dagrodiluksha | AlphaNeural AI
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dagrodiluksha
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distilbert-uncased-senti
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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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distilbert-uncased-senti
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1285
Accuracy: 0.9679
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
No log
1.0
69
0.1238
0.9679
No log
2.0
138
0.1285
0.9679
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cpu
Datasets 3.0.1
Tokenizers 0.19.1
