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multi_try – AI Model by gilmark123 | AlphaNeural AI

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gilmark123/
multi_try

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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multi_try

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: 0.5858
eval_accuracy: 0.7597
eval_f1: 0.7598
eval_confusion_matrix: [[679, 169, 23], [165, 773, 164], [34, 166, 827]]
eval_runtime: 9.9959
eval_samples_per_second: 300.124
eval_steps_per_second: 18.808
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2