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t5-finetuned-en-to-ja-eval1 – AI Model by tsetsuuhei | AlphaNeural AI

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tsetsuuhei/
t5-finetuned-en-to-ja-eval1

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-finetuned-en-to-ja-eval1

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

eval_loss: 0.3092
eval_bleu: 0.0
eval_gen_len: 3.008
eval_runtime: 2.2634
eval_samples_per_second: 220.911
eval_steps_per_second: 4.86
step: 0

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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2