--- license: mit base_model: facebook/w2v-bert-2.0 tags: - generated_from_trainer datasets: - common_voice_16_0 metrics: - wer model-index: - name: w2v-bert-2.0-czech-colab-cv16 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_16_0 type: common_voice_16_0 config: cs split: test args: cs metrics: - name: Wer type: wer value: 0.05733702722973076 --- # w2v-bert-2.0-czech-colab-cv16 This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_16_0 dataset. It achieves the following results on the evaluation set: - Loss: 0.1023 - Wer: 0.0573 ## 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 - train_batch_size: 64 - 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: 500 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.5297 | 0.66 | 300 | 0.1448 | 0.1299 | | 0.0886 | 1.32 | 600 | 0.1353 | 0.1051 | | 0.0717 | 1.98 | 900 | 0.1157 | 0.0861 | | 0.0463 | 2.64 | 1200 | 0.0994 | 0.0759 | | 0.0404 | 3.3 | 1500 | 0.1054 | 0.0724 | | 0.0314 | 3.96 | 1800 | 0.0915 | 0.0694 | | 0.0227 | 4.63 | 2100 | 0.0926 | 0.0664 | | 0.0205 | 5.29 | 2400 | 0.0992 | 0.0652 | | 0.0161 | 5.95 | 2700 | 0.0932 | 0.0654 | | 0.0124 | 6.61 | 3000 | 0.0902 | 0.0629 | | 0.0097 | 7.27 | 3300 | 0.0970 | 0.0612 | | 0.0081 | 7.93 | 3600 | 0.0946 | 0.0602 | | 0.0054 | 8.59 | 3900 | 0.0962 | 0.0588 | | 0.0048 | 9.25 | 4200 | 0.1029 | 0.0579 | | 0.0034 | 9.91 | 4500 | 0.1023 | 0.0573 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.2.0+cu121 - Datasets 2.16.2.dev0 - Tokenizers 0.15.1