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tiny_t5_de – AI Model by philipp-zettl | AlphaNeural AI
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tiny_t5_de
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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tiny_t5_de
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1458
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: 0.0005
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.246
0.75
21117
0.2172
0.1983
1.5
42234
0.1714
0.1772
2.25
63351
0.1535
0.1751
3.0
84468
0.1458
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1
