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nlp_te_re_matbert – AI Model by AmedeoBonatti | AlphaNeural AI
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nlp_te_re_matbert
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transformers
tensorboard
safetensors
test_re
text-classification
generated_from_trainer
custom_code
autotrain_compatible
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nlp_te_re_matbert
This model is a fine-tuned version of
on the None 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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: 23
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.49.0
Pytorch 2.2.1
Datasets 3.3.2
Tokenizers 0.21.0
