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batch_size_8_50_epochs_V3 – AI Model by JordanWHLewis | AlphaNeural AI
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JordanWHLewis
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batch_size_8_50_epochs_V3
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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batch_size_8_50_epochs_V3
This model is a fine-tuned version of
JordanWHLewis/batch_size_8_50_epochs_V2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9178
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: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
17.9139
6.67
200
2.8998
0.5858
13.33
400
2.5126
0.2578
20.0
600
2.9842
0.155
26.67
800
3.1740
0.1156
33.33
1000
2.9952
0.0971
40.0
1200
2.8684
0.075
46.67
1400
2.9178
Framework versions
Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
