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MLOps-Course-M2 – AI Model by zainabdah | AlphaNeural AI | AlphaNeural AI

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zainabdah/
MLOps-Course-M2

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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MLOps-Course-M2

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: 0.6972
eval_model_preparation_time: 0.0029
eval_accuracy: 0.4067
eval_f1: 0.4472
eval_runtime: 180.8791
eval_samples_per_second: 1.659
eval_steps_per_second: 0.105
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 4.56.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0