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roberta-classifier_batch16_3dataset – AI Model by adity12345 | AlphaNeural AI
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roberta-classifier_batch16_3dataset
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transformers
tensorboard
safetensors
deberta
text-classification
generated_from_trainer
microsoft/deberta-large-mnli
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-classifier_batch16_3dataset
This model is a fine-tuned version of
microsoft/deberta-large-mnli
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.6920
eval_Accuracy: 0.525
eval_AUC: 0.498
eval_runtime: 78.0994
eval_samples_per_second: 37.004
eval_steps_per_second: 2.318
epoch: 3.0
step: 2169
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: 0.0002
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
num_epochs: 10
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
