fine_tuned_model – AI Model by zabor2432 | AlphaNeural AI

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zabor2432/
fine_tuned_model

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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fine_tuned_model

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

Loss: 0.2307
Accuracy: 0.92
F1: 0.9070

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	63	0.3195	0.905	0.8902
No log	2.0	126	0.2307	0.92	0.9070

Framework versions

Transformers 5.3.0
Pytorch 2.11.0+cu126
Datasets 4.8.4
Tokenizers 0.22.2