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spanish-intent-classifier – AI Model by swapnasa | AlphaNeural AI
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swapnasa
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spanish-intent-classifier
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
Recognai/bert-base-spanish-wwm-cased-xnli
finetune
mit
autotrain_compatible
endpoints_compatible
us
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spanish-intent-classifier
This model is a fine-tuned version of
Recognai/bert-base-spanish-wwm-cased-xnli
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3130
Accuracy: 0.9418
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: 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
0.3007
1.0
17067
0.2598
0.9332
0.221
2.0
34134
0.2848
0.9408
0.1046
3.0
51201
0.3130
0.9418
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
