orderlyai – AI Model by withorderlyai | AlphaNeural AI

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withorderlyai/
orderlyai

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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orderlyai

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

Loss: 5.8317

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	46	2.5961
No log	2.0	92	2.9959
No log	3.0	138	3.6266
No log	4.0	184	4.3102
No log	5.0	230	4.7747
No log	6.0	276	5.1535
No log	7.0	322	5.4790
No log	8.0	368	5.6904
No log	9.0	414	5.7965
No log	10.0	460	5.8317

Framework versions

Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3