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large_base_M08 – AI Model by mprzibilla | AlphaNeural AI
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large_base_M08
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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large_base_M08
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0553
Wer: 1.0
Cer: 0.8260
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: 0.0001
train_batch_size: 20
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_steps: 17080
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
8.55
20.0
68320
2.2120
1.0
0.8433
2.7106
40.0
136640
2.1153
1.0
0.8329
2.6764
60.0
204960
2.0673
1.0
0.8294
2.664
80.0
273280
2.0591
1.0
0.8268
2.6581
100.0
341600
2.0553
1.0
0.8260
Framework versions
Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.3.2
Tokenizers 0.12.1
