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babylm-tmp – AI Model by FilipT | AlphaNeural AI
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FilipT
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babylm-tmp
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transformers
safetensors
ltgbert
fill-mask
generated_from_trainer
custom_code
ltg/ltg-bert-babylm
finetune
cc-by-4.0
autotrain_compatible
us
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babylm-tmp
This model is a fine-tuned version of
ltg/ltg-bert-babylm
on an unknown dataset.
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
gradient_accumulation_steps: 16
total_train_batch_size: 128
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
training_steps: 30
Training results
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
