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mul-lang-code – AI Model by livles | AlphaNeural AI
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mul-lang-code
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/byt5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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mul-language-code
This model is a fine-tuned version of
google/byt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0955
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.2237
1.0
7500
0.1470
0.1224
2.0
15000
0.1068
0.0927
3.0
22500
0.0968
0.0782
4.0
30000
0.0955
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
