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test_trainer – AI Model by bright1 | AlphaNeural AI | AlphaNeural AI
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bright1
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test_trainer
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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test_trainer
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: 0.5823
eval_accuracy: {'accuracy': 0.77}
eval_f1score: {'f1': 0.7591921155815324}
eval_runtime: 34.386
eval_samples_per_second: 58.163
eval_steps_per_second: 7.27
step: 0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 999
num_epochs: 5
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
