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mi-super-modelo – AI Model by asagula | AlphaNeural AI
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asagula
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mi-super-modelo
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tensorboard
safetensors
bert
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
us
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mi-super-modelo
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6293
Accuracy: 0.24
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: 5e-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.6367
0.3846
5
1.6541
0.18
1.6641
0.7692
10
1.6293
0.24
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
