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distilbert-base-uncased-finetuned-LIAR – AI Model by anuj55 | AlphaNeural AI

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anuj55/
distilbert-base-uncased-finetuned-LIAR

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-LIAR

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.5162
eval_precision: 0.5364
eval_recall: 0.5283
eval_f1: 0.5301
eval_accuracy: 0.5283
eval_runtime: 30.6964
eval_samples_per_second: 97.731
eval_steps_per_second: 3.062
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.13.3