my_awesome_model – AI Model by mhassanch | AlphaNeural AI

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mhassanch/
my_awesome_model

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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my_awesome_model

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: 0.6437
Accuracy: 1.0

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 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	Accuracy
No log	1.0	1	1.1738	0.0
No log	2.0	2	1.0929	0.0
No log	3.0	3	0.9705	0.5
No log	4.0	4	0.8380	1.0
No log	5.0	5	0.7512	1.0
No log	6.0	6	0.6991	1.0
No log	7.0	7	0.6719	1.0
No log	8.0	8	0.6558	1.0
No log	9.0	9	0.6474	1.0
No log	10.0	10	0.6437	1.0

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0