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best-multi-singleCLS – AI Model by Mike00vito | AlphaNeural AI
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Mike00vito
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best-multi-singleCLS
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
bert-base-multilingual-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5444
F1 Score: 0.8762
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: 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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Score
No log
1.0
369
0.4424
0.7742
No log
2.0
738
0.5326
0.7994
No log
3.0
1107
0.4969
0.8681
No log
4.0
1476
0.5444
0.8762
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
