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NimonikDistilBERT-multling-frenzhnl-full – AI Model by Nimonik | AlphaNeural AI
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NimonikDistilBERT-multling-frenzhnl-full
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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NimonikDistilBERT-multling-frenzhnl-full
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: 0.1232
Accuracy: 0.9623
Macro Precision: 0.9531
Macro Recall: 0.9534
F Score: 0.9533
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro Precision
Macro Recall
F Score
0.227
1.0
14771
0.1672
0.9443
0.9361
0.9259
0.9308
0.1709
2.0
29542
0.1232
0.9623
0.9531
0.9534
0.9533
Framework versions
Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.13.3
