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wav2vec2-960h-fine-tuning-2 – AI Model by ashe194 | AlphaNeural AI
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wav2vec2-960h-fine-tuning-2
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tensorboard
safetensors
wav2vec2
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
us
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wav2vec2-960h-fine-tuning-2
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9325
Wer: 11.2741
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: 4e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.9935
76
1.3301
15.9156
No log
2.0
153
3.8761
17.1732
No log
2.9935
229
1.8980
13.3403
No log
3.9739
304
0.9325
11.2741
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
