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robbert_1210seed24 – AI Model by Tommert25 | AlphaNeural AI

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Tommert25/
robbert_1210seed24

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0

token-classification

generated_from_trainer

Tommert25/robbert_1210seed24

autotrain_compatible

endpoints_compatible

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robbert_1210seed24

This model is a fine-tuned version of Tommert25/robbert_1210seed24 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3768
eval_precisions: 0.8480
eval_recall: 0.8144
eval_f-measure: 0.8283
eval_accuracy: 0.9436
eval_runtime: 9.7846
eval_samples_per_second: 82.477
eval_steps_per_second: 5.212
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: 7.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 14

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1