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wav2vec2-finetuned-mrt – AI Model by water27 | AlphaNeural AI
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water27
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wav2vec2-finetuned-mrt
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-finetuned-mrt
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 45.0632
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
63.4977
2.3810
100
55.7428
55.4934
4.7619
200
52.5311
53.5505
7.1429
300
51.9070
48.0679
9.5238
400
45.4772
48.0679
10.0
420
45.0632
Framework versions
Transformers 5.14.1
Pytorch 2.13.0
Datasets 5.0.0
Tokenizers 0.22.2
