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modernbert-llm-sentiment – AI Model by aneespatka | AlphaNeural AI
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aneespatka
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modernbert-llm-sentiment
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transformers
tensorboard
safetensors
modernbert
text-classification
generated_from_trainer
answerdotai/ModernBERT-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modernbert-llm-sentiment
This model is a fine-tuned version of
answerdotai/ModernBERT-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
F1: 0.2648
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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
591.3904
0.9937
119
nan
0.2648
0.0
1.9937
238
nan
0.2648
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.6.0a0+df5bbc09d1.nv24.12
Datasets 3.1.0
Tokenizers 0.21.0
