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finetuning-sentiment-model-distilbert – AI Model by Keerthan | AlphaNeural AI
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Keerthan
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finetuning-sentiment-model-distilbert
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuning-sentiment-model-distilbert
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.5942
eval_accuracy: 0.9189
eval_f1: 0.9154
eval_runtime: 114.314
eval_samples_per_second: 69.983
eval_steps_per_second: 8.748
epoch: 9.0
step: 36000
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1
