bert-base-uncased-finetuned-mlm-nef-20240325 – AI Model by JTh34 | AlphaNeural AI

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JTh34/
bert-base-uncased-finetuned-mlm-nef-20240325

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google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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bert-base-uncased-finetuned-mlm-nef-20240320

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

Loss: 1.4098

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.9842	1.0	210	1.6738
1.6466	2.0	420	1.5511
1.5627	3.0	630	1.5133
1.518	4.0	840	1.4705
1.4843	5.0	1050	1.4601
1.4723	6.0	1260	1.4336
1.456	7.0	1470	1.4196
1.4408	8.0	1680	1.4162
1.4361	9.0	1890	1.4231
1.4317	10.0	2100	1.4006

Framework versions

Transformers 4.39.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2