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teoria-decision – AI Model by Dev-jcgi | AlphaNeural AI
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Dev-jcgi
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teoria-decision
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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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teoria-decision
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4823
Accuracy: 0.325
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: Use OptimizerNames.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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.5171
0.5
5
1.5654
0.225
1.4518
1.0
10
1.5206
0.375
1.389
1.5
15
1.4926
0.325
1.344
2.0
20
1.4823
0.325
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3
