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distilbert-base-multilingual-cased-aoe-test6 – AI Model by cvapict | AlphaNeural AI
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distilbert-base-multilingual-cased-aoe-test6
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-multilingual-cased-aoe-test6
This model is a fine-tuned version of
distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1751
Accuracy: 0.9596
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2782
1.0
5568
0.1426
0.9590
0.0775
2.0
11136
0.1350
0.9577
0.0895
3.0
16704
0.1751
0.9596
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
