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modernFinBERTLarge2 – AI Model by blepine | AlphaNeural AI
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blepine
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modernFinBERTLarge2
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transformers
safetensors
modernbert
fill-mask
generated_from_trainer
blepine/modernFinBERTLarge
finetune
autotrain_compatible
endpoints_compatible
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modernFinBERTLarge2
This model is a fine-tuned version of
blepine/modernFinBERTLarge
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5898
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: 9e-07
train_batch_size: 4
eval_batch_size: 4
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
2.7102
1.0
5364
2.6690
2.7277
2.0
10728
2.6420
2.6433
3.0
16092
2.5801
2.6457
4.0
21456
2.5898
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.0+cu124
Datasets 3.1.0
Tokenizers 0.21.0
