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results – AI Model by Jillian | AlphaNeural AI
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Jillian
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results
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transformers
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1381
Accuracy: 0.9541
F1: 0.9541
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: 16
eval_batch_size: 16
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
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1876
1.0
1399
0.1381
0.9541
0.9541
0.1279
2.0
2798
0.1588
0.9609
0.9609
0.082
3.0
4197
0.1754
0.9612
0.9612
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Tokenizers 0.21.1
