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distilbert-multilingual-uncased-sep-27 – AI Model by SmilestheSad | AlphaNeural AI
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distilbert-multilingual-uncased-sep-27
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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-multilingual-uncased-sep-27
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: 0.0530
F1: 0.9056
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: 4e-05
train_batch_size: 32
eval_batch_size: 32
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
F1
0.1247
1.0
565
0.0661
0.8495
0.0533
2.0
1130
0.0543
0.8890
0.0331
3.0
1695
0.0530
0.9056
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
