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parallel-major-languages-from-allnli – AI Model by gowitheflowlab | AlphaNeural AI
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parallel-major-languages-from-allnli
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transformers
pytorch
pixel
text-classification
generated_from_trainer
parallel-pt-nl-pl
autotrain_compatible
endpoints_compatible
us
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allnli_wikispan_unsup_ensemble_last**-64-128-3e-5-9400
This model is a fine-tuned version of
zxh4546/allnli_wikispan_unsup_ensemble_last
on the PARALLEL-PT-NL-PL 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: 128
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 9400
Training results
Framework versions
Transformers 4.17.0
Pytorch 1.11.0
Datasets 2.14.6
Tokenizers 0.15.0
