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nlp – AI Model by coolseyungerm | AlphaNeural AI
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coolseyungerm
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nlp
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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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nlp
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4525
Precision: {'precision': 0.7764142452209191}
Recall: {'recall': 0.7645002056766763}
F1: {'f1': 0.76970663621118}
Accuracy: {'accuracy': 0.7998489425981873}
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: 5e-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.4592
1.0
1324
0.4525
{'precision': 0.7764142452209191}
{'recall': 0.7645002056766763}
{'f1': 0.76970663621118}
{'accuracy': 0.7998489425981873}
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
