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t5_base_fine_tuned_synthetic_en_de – AI Model by jaymanvirk | AlphaNeural AI
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t5_base_fine_tuned_synthetic_en_de
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transformers
safetensors
t5
text2text-generation
translation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5_base_fine_tuned_synthetic_en_de
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3255
Sacrebleu: 34.6747
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Sacrebleu
0.454
1.0
945
0.2922
34.8635
0.0474
2.0
1890
0.3058
34.8379
0.0421
3.0
2835
0.3144
34.8678
0.039
4.0
3780
0.3234
34.7021
0.0369
5.0
4725
0.3255
34.6747
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1