It achieves the following results on the evaluation set:
Loss: 0.405
Wer: 0.0728
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
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 5
mixed_precision_training: Native AMP
Training results
See Training Metrics Tab.
Framework versions
Transformers 4.15.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.16.2.dev0
Tokenizers 0.10.3
Runs of patrickvonplaten wav2vec2-2-bart-base on huggingface.co
306
Total runs
-15
24-hour runs
-19
3-day runs
-113
7-day runs
-605
30-day runs
More Information About wav2vec2-2-bart-base huggingface.co Model
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