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bert_Pfinal_2e-5_16_2 – AI Model by fredymad | AlphaNeural AI
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bert_Pfinal_2e-5_16_2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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bert_Pfinal_2e-5_16_2
This model is a fine-tuned version of
dccuchile/bert-base-spanish-wwm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2437
F1: 0.7464
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2444
1.0
669
0.1785
0.7321
0.1729
2.0
1338
0.2437
0.7464
Framework versions
Transformers 4.28.0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
