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ModernBERT-large-ft-fineweb-edu-annotations – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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ModernBERT-large-ft-fineweb-edu-annotations
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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-large-ft-fineweb-edu-annotations
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: 1.1702
F1 Score: 0.7571
Precision Score: 0.7609
Recall Score: 0.7554
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: 8e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Score
Precision Score
Recall Score
0.643
1.0
15581
0.5972
0.7481
0.7521
0.7463
0.4219
2.0
31162
0.5946
0.7729
0.7846
0.7680
0.1447
3.0
46743
1.1702
0.7571
0.7609
0.7554
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
