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PAN-2024-transformer-base_bert-base-cased_K3 – AI Model by dtorber | AlphaNeural AI
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PAN-2024-transformer-base_bert-base-cased_K3
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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PAN-2024-transformer-base_bert-base-cased_K3
This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5546
F1 Macro: 1.0
F1: 1.0
F1 Neg: 1.0
Acc: 1.0
Prec: 1.0
Recall: 1.0
Mcc: 0.0
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
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Macro
F1
F1 Neg
Acc
Prec
Recall
Mcc
No log
1.0
1
0.5546
1.0
1.0
1.0
1.0
1.0
1.0
0.0
No log
2.0
2
0.4658
1.0
1.0
1.0
1.0
1.0
1.0
0.0
No log
3.0
3
0.4160
1.0
1.0
1.0
1.0
1.0
1.0
0.0
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.2
