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copt-300m-toratan-60 – AI Model by colorlessideas | AlphaNeural AI
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copt-300m-toratan-60
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
colorlessideas/xlsr-ulwa-continued-pretrain
finetune
apache-2.0
endpoints_compatible
us
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copt-300m-toratan-60
This model is a fine-tuned version of
colorlessideas/xlsr-ulwa-continued-pretrain
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0600
Cer: 0.0272
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
4.28
8.3333
400
1.4716
0.4029
1.1545
16.6667
800
0.3822
0.1181
0.489
25.0
1200
0.0600
0.0272
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
