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Nystrom-W2V2-100hrs-take-3-unfreeze-extractor – AI Model by rohitp1 | AlphaNeural AI
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rohitp1
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Nystrom-W2V2-100hrs-take-3-unfreeze-extractor
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transformers
pytorch
wav2vec2
generated_from_trainer
endpoints_compatible
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Nystrom-W2V2-100hrs-take-3-unfreeze-extractor
This model is a fine-tuned version of
rohitp1/Nystrom-W2V2-100hrs-take-2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 29.1951
Wer: 0.1183
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: 0.0005
train_batch_size: 32
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
123.0399
37.04
1000
27.2466
0.1448
89.1443
74.07
2000
29.1951
0.1183
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
