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ssc-top-xlsr300m-model-mix-adapt-max-lowlr – AI Model by ctaguchi | AlphaNeural AI
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ssc-top-xlsr300m-model-mix-adapt-max-lowlr
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ssc-top-xlsr300m-model-mix-adapt-max-lowlr
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3214
Cer: 0.2311
Wer: 0.8497
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: 0.0003
train_batch_size: 1
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
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: 100
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
Wer
0.3723
2.1989
200
1.2167
0.2348
0.8564
0.1985
4.3978
400
1.3214
0.2311
0.8497
Framework versions
Transformers 4.57.2
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.0
