iammahadev/w2v-bert-2.0-malayalam-colab-CV16.0
07
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
w2v-bert-2.0-malayalam-colab-CV16.0
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: 0.4753
- Wer: 0.5422
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: 500
- num_epochs: 10
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1