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distil-wav2vec2-finetuned-giga-speech – AI Model by fmagot01 | AlphaNeural AI
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fmagot01
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distil-wav2vec2-finetuned-giga-speech
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transformers
pytorch
wav2vec2
audio-classification
generated_from_trainer
OthmaneJ/distil-wav2vec2
OthmaneJ/distil-wav2vec2
finetune
apache-2.0
model-index
endpoints_compatible
us
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distil-wav2vec2-finetuned-giga-speech
This model is a fine-tuned version of
OthmaneJ/distil-wav2vec2
on the Giga Speech dataset. It achieves the following results on the evaluation set:
Loss: 0.4271
Accuracy: 0.8882
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: 5e-05
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_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.4425
1.0
1057
1.3045
0.5399
0.796
2.0
2114
0.8516
0.7284
0.9685
3.0
3171
0.5054
0.8626
0.5623
4.0
4228
0.4271
0.8882
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
