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test-base – AI Model by lynguyenminh | AlphaNeural AI
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lynguyenminh
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test-base
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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test-base
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: 1445.1470
Wer: 1.0
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: 8
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: 1000
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6920.0094
1.0
50
8437.0029
1.0711
4915.5925
2.0
100
3042.6738
1.0
2169.443
3.0
150
1845.2919
1.0
1729.4778
4.0
200
1625.1453
1.0
1533.998
5.0
250
1445.1470
1.0
Framework versions
Transformers 4.24.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
