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t5-small-finetuned-en-to-de-accelerate – AI Model by pritam3355 | AlphaNeural AI
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t5-small-finetuned-en-to-de-accelerate
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
translation
en
de
kde4
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5-small-finetuned-en-to-de-accelerate translator
This model is a fine-tuned version of
t5-small
on the kde4 dataset. It achieves the following results on the evaluation set:
SacreBELU : 41.46
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Accelerate
Training hyperparameters
The following hyperparameters were used during training:
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: AdamW with lr=5e-5
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Validation Loss
BLEU score
1.5908938944803344
1.0
1.2350984811782837
39.82
1.3603184403975805
2.0
1.1676584482192993
41.05
1.3098205064204005
3.0
1.1546192169189453
41.46
Graph :
https://wandb.ai/tchoud8/t5-finetuned-en-to-fr-accelerate/runs/bnzjma7v/workspace?workspace=user-tchoud8
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
