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factchecker_v1 – AI Model by athugodage | AlphaNeural AI
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athugodage
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factchecker_v1
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transformers
tensorboard
safetensors
eurobert
text-classification
generated_from_trainer
custom_code
EuroBERT/EuroBERT-610m
finetune
apache-2.0
autotrain_compatible
us
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factchecker_v1
This model is a fine-tuned version of
EuroBERT/EuroBERT-610m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4174
Accuracy: 0.6269
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: 1e-06
train_batch_size: 1
eval_batch_size: 1
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
375
1.3092
0.4179
1.4125
2.0
750
1.4722
0.5970
1.4316
3.0
1125
2.0787
0.6269
0.9881
4.0
1500
2.4174
0.6269
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
