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dbert_model_02 – AI Model by fcfrank10 | AlphaNeural AI
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fcfrank10
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dbert_model_02
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dbert_model_02
This model is a fine-tuned version of
distilbert-base-multilingual-cased
on the None dataset.
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
7
0.2224
0.0
0.0
0.0
0.9371
Framework versions
Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0
