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distilbert-imdb-results – AI Model by nabeelabidmalik | AlphaNeural AI

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nabeelabidmalik/
distilbert-imdb-results

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

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distilbert-imdb-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: 0.6967
eval_model_preparation_time: 0.0031
eval_accuracy: 0.411
eval_precision: 0.4246
eval_recall: 0.501
eval_f1: 0.4596
eval_runtime: 1067.424
eval_samples_per_second: 1.874
eval_steps_per_second: 0.117
epoch: 0
step: 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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 5.14.1
Pytorch 2.11.0+cpu
Datasets 5.0.1
Tokenizers 0.22.2