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Tango_Rock – AI Model by SantiRimedio | AlphaNeural AI
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Tango_Rock
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transformers
pytorch
distilbert
fill-mask
generated_from_trainer
dccuchile/distilbert-base-spanish-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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Tango_Rock
This model is a fine-tuned version of
dccuchile/distilbert-base-spanish-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6886
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.0314
1.0
350
2.7601
2.8784
2.0
700
2.7030
2.835
3.0
1050
2.6957
Framework versions
Transformers 4.32.1
Pytorch 2.1.0
Datasets 2.12.0
Tokenizers 0.13.3
