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herbert-large-cased – AI Model by izaitova | AlphaNeural AI
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izaitova
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herbert-large-cased
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safetensors
bert
generated_from_trainer
allegro/herbert-large-cased
finetune
cc-by-4.0
us
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herbert-large-cased
This model is a fine-tuned version of
allegro/herbert-large-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6984
Accuracy: 0.188
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Framework versions
Transformers 4.39.3
Pytorch 1.11.0a0+17540c5
Datasets 2.20.0
Tokenizers 0.15.2
