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XLtolli – AI Model by Aadithyak | AlphaNeural AI

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Aadithyak/
XLtolli

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text-classification

generated_from_trainer

xlnet/xlnet-base-cased

autotrain_compatible

endpoints_compatible

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XLtolli

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: 0.4737
eval_accuracy: 0.8635
eval_f1: 0.8634
eval_runtime: 1328.1503
eval_samples_per_second: 78.779
eval_steps_per_second: 0.788
epoch: 1.5180
step: 3000

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: 100
eval_batch_size: 100
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 300
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 600
num_epochs: 7
mixed_precision_training: Native AMP

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0