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results – AI Model by riyanmodassar | AlphaNeural AI

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riyanmodassar/
results

like

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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results

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: 0.3271
eval_accuracy: 0.8704
eval_precision: 0.8653
eval_recall: 0.8829
eval_f1: 0.8740
eval_runtime: 191.5145
eval_samples_per_second: 4.553
eval_steps_per_second: 0.569
epoch: 0.2197
step: 190

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2