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modernbert-challenges-directions-nli – AI Model by shahafvl | AlphaNeural AI
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modernbert-challenges-directions-nli
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transformers
safetensors
modernbert
text-classification
generated_from_trainer
tasksource/ModernBERT-base-nli
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert-challenges-directions-nli
This model is a fine-tuned version of
tasksource/ModernBERT-base-nli
on an unknown dataset. It achieves the following results on the evaluation set:
F1: 0.7328
Loss: 0.7023
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: 4.7235499546899774e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
F1
Validation Loss
No log
1.0
72
0.7222
0.3932
0.313
2.0
144
0.6768
0.5944
0.0557
3.0
216
0.7003
0.7050
0.0557
4.0
288
0.7328
0.7023
0.005
5.0
360
0.7302
0.7106
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.1
