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twi-nllb-asr-repair – AI Model by prince4332 | AlphaNeural AI
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twi-nllb-asr-repair
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/nllb-200-distilled-600M
finetune
cc-by-nc-4.0
endpoints_compatible
us
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twi-nllb-asr-repair
This model is a fine-tuned version of
facebook/nllb-200-distilled-600M
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3427
eval_cer: 2.2415
eval_runtime: 1404.1209
eval_samples_per_second: 2.149
eval_steps_per_second: 0.269
epoch: 7.0
step: 5943
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 200
num_epochs: 10
Framework versions
Transformers 4.56.0
Pytorch 2.8.0+cu129
Tokenizers 0.22.0