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mytuned_test_trainer-base-cased1 – AI Model by MrDdz | AlphaNeural AI

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MrDdz/
mytuned_test_trainer-base-cased1

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text-classification

generated_from_trainer

xlnet/xlnet-base-cased

autotrain_compatible

endpoints_compatible

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mytuned_test_trainer-base-cased1

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7836
eval_rmse: 0.7145
eval_runtime: 5.7466
eval_samples_per_second: 348.03
eval_steps_per_second: 43.504
epoch: 3.27
step: 1633

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3