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punctuation-finetune-mec – AI Model by tiagoblima | AlphaNeural AI
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tiagoblima
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punctuation-finetune-mec
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transformers
pytorch
bert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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punctuation-finetune-mec
This model is a fine-tuned version of
tiagoblima/punctuation-taboa-bert
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
411
0.1356
0.9791
0.7083
0.8220
0.9553
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1
