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multilingual-e5-base-router-pt – AI Model by luiseduardobrito | AlphaNeural AI
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multilingual-e5-base-router-pt
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
intfloat/multilingual-e5-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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multilingual-e5-base-router-pt
This model is a fine-tuned version of
intfloat/multilingual-e5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0634
F1: 0.9917
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.0591
1.0
957
0.0475
0.9891
0.0364
2.0
1914
0.0522
0.9891
0.0123
3.0
2871
0.0599
0.9913
0.0052
4.0
3828
0.0662
0.9913
0.0001
5.0
4785
0.0634
0.9917
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0
