web2savar/w2v-fine-tune-test-no-punct2
08
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w2v-fine-tune-test-no-punct2
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the commonvoice16_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.0297
- Wer: 1.0
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
- trainbatchsize: 16
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 10
- num_epochs: 10
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0