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t5-small-scratch-custom-iwslt2017 – AI Model by minseok0809 | AlphaNeural AI

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minseok0809/
t5-small-scratch-custom-iwslt2017

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-iwslt2017

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4200
Bleu: 0.2502
Gen Len: 26.2162

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

IWSLT-2017-01: https://wit3.fbk.eu/2017-01
IWSLT-2017-01-B: https://wit3.fbk.eu/2017-01-b

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100

Training results

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.19.1