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byt5-base-bdd-expansion-lora-v2 – AI Model by mschonhardt | AlphaNeural AI
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mschonhardt
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byt5-base-bdd-expansion-lora-v2
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peft
safetensors
adapter
lora
transformers
google/byt5-base
apache-2.0
us
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byt5-base-bdd-expansion-lora-v2
This model is a fine-tuned version of
google/byt5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0313
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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.2915
1.0
971
0.1431
0.1664
2.0
1942
0.0804
0.0931
3.0
2913
0.0365
0.0768
4.0
3884
0.0319
0.076
5.0
4855
0.0313
Framework versions
PEFT 0.16.0
Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
