test_trainer – AI Model by seunbite | AlphaNeural AI

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seunbite/
test_trainer

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text-classification

generated_from_trainer

google-bert/bert-base-cased

autotrain_compatible

endpoints_compatible

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test_trainer

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: 1.4485

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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.1928	0.16	20	1.7267
0.0765	0.32	40	2.2667
0.1415	0.48	60	2.4675
0.8414	0.64	80	2.5346
1.4214	0.8	100	1.4516
1.3342	0.96	120	1.1893
0.707	1.12	140	1.1221
0.2296	1.28	160	1.3310
0.7034	1.44	180	1.4380
0.6004	1.6	200	1.4485

Framework versions

Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3