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TEEN2.8M-masked – AI Model by sandeepmaddu | AlphaNeural AI
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sandeepmaddu
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TEEN2.8M-masked
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tensorboard
safetensors
bert
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
us
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Model card
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aug22-langmodel-masked
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5913
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: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2196
1.0
4691
2.8010
2.7932
2.0
9382
2.6365
2.6936
3.0
14073
2.5932
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
