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modello_finetunato – AI Model by soniarocca31 | AlphaNeural AI
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modello_finetunato
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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modello_finetunato
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:
eval_loss: 0.1116
eval_accuracy: 0.98
eval_runtime: 9.9159
eval_samples_per_second: 60.509
eval_steps_per_second: 3.832
epoch: 6.38
step: 1200
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: 10
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
