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fine-finetuned – AI Model by Stxlla | AlphaNeural AI

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Stxlla/
fine-finetuned

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fine-finetuned

This model is a fine-tuned version of Stxlla/ko-en-following on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1211
eval_bleu: 61.2672
eval_gen_len: 11.3556
eval_runtime: 2042.0344
eval_samples_per_second: 16.208
eval_steps_per_second: 1.013
epoch: 2.0
step: 33098

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2