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hw1 – AI Model by JimmysuHuggingFace | AlphaNeural AI

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JimmysuHuggingFace/
hw1

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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hw1

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: 0.8084
eval_model_preparation_time: 0.0019
eval_matthews_correlation: 0.5521
eval_runtime: 0.7697
eval_samples_per_second: 1355.105
eval_steps_per_second: 85.75
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: 5

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 2.21.0
Tokenizers 0.21.4