ufc_classifier – AI Model by Maria7373 | AlphaNeural AI

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Maria7373/
ufc_classifier

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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ufc_classifier

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

Loss: 0.7510
Accuracy: 0.5

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: 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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	3	1.0008	0.5
No log	2.0	6	0.7525	0.5
No log	3.0	9	0.7510	0.5

Framework versions

Transformers 4.51.2
Pytorch 2.5.1+cpu
Datasets 3.5.0
Tokenizers 0.21.1