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distilled-mt5-small-test – AI Model by Lvxue | AlphaNeural AI

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Lvxue/
distilled-mt5-small-test

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distilled-mt5-small-test

This model is a fine-tuned version of google/mt5-small on the wmt16 ro-en dataset. It achieves the following results on the evaluation set:

Loss: 2.8241
Bleu: 7.5082
Gen Len: 44.0405

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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1