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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-ds-f7-et – AI Model by zacdan4801 | AlphaNeural AI
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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-ds-f7-et
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-ds-f7-et
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2531
Per: 0.2389
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Per
1.1971
15.0
1455
0.2598
0.2351
1.0956
30.0
2910
0.2531
0.2389
Framework versions
Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2
