my_awesome_swag_model – AI Model by XRe03 | AlphaNeural AI

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XRe03/
my_awesome_swag_model

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google-bert/bert-base-uncased

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my_awesome_swag_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: 2.0352
Accuracy: 0.7321

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: 4
eval_batch_size: 4
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9406	1.0	18387	0.8161	0.6844
0.6152	2.0	36774	1.0378	0.7167
0.3145	3.0	55161	2.0352	0.7321

Framework versions

Transformers 5.14.1
Pytorch 2.13.0+cu126
Datasets 5.0.1
Tokenizers 0.22.2