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asr_wav2vec2_base_1.4 – AI Model by Myriam123 | AlphaNeural AI
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Myriam123
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asr_wav2vec2_base_1.4
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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asr_wav2vec2_base_1.4
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2687
Wer: 0.2410
Cer: 0.0769
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
4.4108
1.12
700
1.2046
0.7513
0.3423
0.9111
2.24
1400
0.4008
0.3362
0.1116
0.5359
3.36
2100
0.2947
0.2700
0.0857
0.397
4.48
2800
0.2687
0.2410
0.0769
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
