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beto_covid_ft – AI Model by ArtCad98 | AlphaNeural AI
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ArtCad98
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beto_covid_ft
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
dccuchile/bert-base-spanish-wwm-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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beto_covid_ft
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: 0.9339
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
1.1999
1.0
4156
1.1221
1.0498
2.0
8312
0.9829
0.9982
3.0
12468
0.9336
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
