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modernbert_agree_classifier – AI Model by underscore2 | AlphaNeural AI
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underscore2
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modernbert_agree_classifier
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transformers
tensorboard
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-large
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert_agree_classifier
This model is a fine-tuned version of
answerdotai/ModernBERT-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7135
Accuracy: 0.6114
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: 6.000000000000001e-05
train_batch_size: 6
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 60
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: constant
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
6.6012
0.2994
20
0.6613
0.6114
5.841
0.5988
40
0.7060
0.6114
7.3284
0.8982
60
0.6671
0.6114
6.9088
1.2096
80
0.6861
0.4834
7.1679
1.5090
100
0.7135
0.6114
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
