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roberta-classifier-pokemon – AI Model by TeeA | AlphaNeural AI

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TeeA/
roberta-classifier-pokemon

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text-classification

generated_from_trainer

TeeA/roberta-classifier-pokemon

autotrain_compatible

endpoints_compatible

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roberta-classifier-pokemon

This model is a fine-tuned version of TeeA/roberta-classifier-pokemon on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 11.3963
eval_accuracy: 0.0619
eval_runtime: 6.6209
eval_samples_per_second: 209.942
eval_steps_per_second: 13.14
epoch: 22.0
step: 6710

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: 50

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0