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shared_audio – AI Model by dima1234321 | AlphaNeural AI | AlphaNeural AI
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dima1234321
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shared_audio
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
vitouphy/wav2vec2-xls-r-300m-timit-phoneme
finetune
apache-2.0
endpoints_compatible
us
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shared_audio
This model is a fine-tuned version of
vitouphy/wav2vec2-xls-r-300m-timit-phoneme
on the None dataset. It achieves the following results on the evaluation set:
Loss: 66.1707
Wer: 1.2143
Cer: 9.2148
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
58.4649
0.03
2
66.1707
1.2143
9.2148
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
