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polyglot-1.3-finetune – AI Model by pratik33 | AlphaNeural AI
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polyglot-1.3-finetune
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transformers
pytorch
tensorboard
gpt_neox
text-generation
generated_from_trainer
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
EleutherAI/polyglot-ko-1.3b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7394
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
388
2.7394
Framework versions
Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
