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ModernBERT-base-ft-fineweb-multilingual-sentiment-es-2k – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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ModernBERT-base-ft-fineweb-multilingual-sentiment-es-2k
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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-base-ft-fineweb-multilingual-sentiment-es-2k
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: 0.5953
F1 Score: 0.7774
Precision Score: 0.7782
Recall Score: 0.7766
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: 128
eval_batch_size: 128
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
0.5755
1.0
1395
0.5156
0.7838
0.7912
0.7779
0.4617
2.0
2790
0.5123
0.7823
0.7826
0.7820
0.3318
3.0
4185
0.5953
0.7774
0.7782
0.7766
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
