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Antismetisim-finetuned-MLM-NEW-05-26 – AI Model by Dhanush66 | AlphaNeural AI
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Dhanush66
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Antismetisim-finetuned-MLM-NEW-05-26
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transformers
safetensors
bert
fill-mask
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Antismetisim-finetuned-MLM-NEW-05-26
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: 7.4688
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: 0.001
train_batch_size: 64
eval_batch_size: 64
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
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1586
7.4898
7.4987
2.0
3172
7.4766
7.4987
3.0
4758
7.4736
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.0
