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results – AI Model by aidan0626 | AlphaNeural AI
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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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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: 0.6071
Accuracy: 0.7773
F1 Weighted: 0.7525
Precision Weighted: 0.7599
Recall Weighted: 0.7773
Precision Class 0: 0.8004
Recall Class 0: 0.9631
F1 Class 0: 0.8742
Support Class 0: 949.0
Precision Class 1: 0.6402
Recall Class 1: 0.3312
F1 Class 1: 0.4366
Support Class 1: 317.0
Precision Class 2: 0.7577
Recall Class 2: 0.6282
F1 Class 2: 0.6869
Support Class 2: 234.0
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
