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test3 – AI Model by namkyeong | AlphaNeural AI
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namkyeong
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test3
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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test3
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 140.4698
Cer: 1.7882
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: 0.0003
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: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
101.7886
1.0
3
141.5133
1.8588
76.3259
2.0
6
141.5047
1.7882
82.7714
3.0
9
141.4292
1.8118
107.6911
4.0
12
141.2027
1.6706
81.6931
5.0
15
140.4698
1.7882
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu113
Datasets 2.20.0
Tokenizers 0.15.2
