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distilbert-base-multilingual-cased-language-detection-silvanus – AI Model by rollerhafeezh | AlphaNeural AI
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rollerhafeezh
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distilbert-base-multilingual-cased-language-detection-silvanus
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transformers
tensorboard
safetensors
distilbert
text-classification
Silvanus
id
en
es
it
sk
rollerhafeezh-amikom/language-detection
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilbert-base-multilingual-cased-language-detection-silvanus
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0268
Accuracy: 0.9960
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
No log
1.0
274
0.0342
0.9940
0.1401
2.0
548
0.0270
0.9960
0.1401
3.0
822
0.0268
0.9960
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
