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pruebaModeloTFM_Bert_es – AI Model by pamelapaolacb | AlphaNeural AI

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pamelapaolacb/
pruebaModeloTFM_Bert_es

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0

question-answering

generated_from_trainer

google-bert/bert-base-cased

endpoints_compatible

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pruebaModeloTFM_Bert_es

This model is a fine-tuned version of bert-base-cased on the squad_es dataset.

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: 0
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3