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finetune_wav2vec2_960h_thirty – AI Model by ImanN1 | AlphaNeural AI
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finetune_wav2vec2_960h_thirty
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
endpoints_compatible
us
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finetune_wav2vec2_960h_thirty
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7088
Wer: 30.8513
Cer: 15.3422
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 3800
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.9521
2.8090
1000
0.7088
30.8513
15.3422
0.6771
5.6180
2000
0.5857
26.9346
13.3483
0.5499
8.4270
3000
0.5207
24.7273
12.1108
Framework versions
Transformers 4.40.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
