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t5-finetuned-en-to-ru-eval1 – AI Model by tsetsuuhei | AlphaNeural AI
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t5-finetuned-en-to-ru-eval1
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-finetuned-en-to-ru-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: 2.6224
eval_bleu: 0.0
eval_gen_len: 7.656
eval_runtime: 5.8186
eval_samples_per_second: 85.931
eval_steps_per_second: 1.89
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
