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distilbert-base-multilingual-cased-Razones_Especificas_Esp – AI Model by rogelioplatt | AlphaNeural AI
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rogelioplatt
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distilbert-base-multilingual-cased-Razones_Especificas_Esp
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-multilingual-cased-Razones_Especificas_Esp
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: 0.2710
Accuracy: 0.8938
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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4788
1.0
38
0.4704
0.8009
0.4791
2.0
76
0.3086
0.8850
0.3026
3.0
114
0.2710
0.8938
Framework versions
Transformers 4.28.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.13.3
