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intent_classification_model_fix – AI Model by hienhayho | AlphaNeural AI
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intent_classification_model_fix
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
qanastek/XLMRoberta-Alexa-Intents-Classification
finetune
cc-by-4.0
autotrain_compatible
endpoints_compatible
us
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intent_classification_model_fix
This model is a fine-tuned version of
qanastek/XLMRoberta-Alexa-Intents-Classification
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1868
Accuracy: 0.9773
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: 512
eval_batch_size: 512
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
4.0
208
1.1635
0.7728
No log
8.0
416
0.4652
0.9158
1.1894
12.0
624
0.2790
0.9546
1.1894
16.0
832
0.2050
0.9735
0.4709
20.0
1040
0.1868
0.9773
Framework versions
Transformers 4.41.2
Pytorch 1.13.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
