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my_asr_model_3 – AI Model by LowGI | AlphaNeural AI
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my_asr_model_3
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
minds14
apache-2.0
model-index
endpoints_compatible
us
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my_asr_model_3
This model is a fine-tuned version of
facebook/wav2vec2-base
on the minds14 dataset. It achieves the following results on the evaluation set:
Loss: 3.8875
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: 1e-05
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
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
7.7043
60.0
300
6.0169
1.0
4.5859
120.0
600
4.3190
1.0
3.8087
180.0
900
3.8875
1.0
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
