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results – AI Model by alexbeta80 | AlphaNeural AI
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transformers
safetensors
bert
fill-mask
generated_from_trainer
dbmdz/bert-base-italian-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
dbmdz/bert-base-italian-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0679
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
No log
1.0
102
0.1485
No log
2.0
204
0.0772
No log
3.0
306
0.0679
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
