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bert-distilled-twitter-sent140_dataset_hp_optimized_final – AI Model by ArafatBHossain | AlphaNeural AI
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ArafatBHossain
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bert-distilled-twitter-sent140_dataset_hp_optimized_final
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-distilled-twitter-sent140_dataset_hp_optimized_final
This model is a fine-tuned version of
ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7526
Accuracy: 0.7701
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: 1.0252171333853176e-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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5666
1.0
408
0.7110
0.7647
0.501
2.0
816
0.7382
0.7567
0.5199
3.0
1224
0.7562
0.7674
0.4972
4.0
1632
0.7502
0.7647
0.4498
5.0
2040
0.7526
0.7701
Framework versions
Transformers 4.25.1
Pytorch 1.11.0
Datasets 2.7.1
Tokenizers 0.12.1
