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rut5-base-phonetic – AI Model by NancyBlack | AlphaNeural AI
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NancyBlack
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rut5-base-phonetic
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
NancyBlack/rut5-base-phonetic
finetune
text-generation-inference
endpoints_compatible
us
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rut5-base-phonetic
This model is a fine-tuned version of
NancyBlack/rut5-base-phonetic
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0362
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0153
0.3582
500
0.0354
0.0137
0.7163
1000
0.0358
0.0115
1.0745
1500
0.0379
0.0085
1.4327
2000
0.0362
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
