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es-kd-XLM-minilmv2-32 – AI Model by subhasisj | AlphaNeural AI
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subhasisj
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es-kd-XLM-minilmv2-32
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
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es-kd-XLM-minilmv2-32
This model is a fine-tuned version of
subhasisj/es-TAPT-MLM-MiniLM
on the None 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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.2.1
Tokenizers 0.12.1
