--- license: apache-2.0 base_model: facebook/wav2vec2-base-960h tags: - generated_from_trainer metrics: - wer model-index: - name: wav2vecvanilla_ctc_zero_infinity results: [] --- # wav2vecvanilla_ctc_zero_infinity This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8214 - Wer: 0.3168 ## 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: 4 - 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: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 1.4684 | 0.43 | 100 | 1.0567 | 0.4018 | | 1.2572 | 0.85 | 200 | 0.9726 | 0.3706 | | 1.139 | 1.28 | 300 | 0.9748 | 0.3602 | | 1.0956 | 1.71 | 400 | 0.9989 | 0.3619 | | 1.0891 | 2.14 | 500 | 0.9133 | 0.3606 | | 1.063 | 2.56 | 600 | 0.9272 | 0.3548 | | 1.0339 | 2.99 | 700 | 1.0183 | 0.3444 | | 0.9709 | 3.42 | 800 | 0.8244 | 0.3488 | | 0.958 | 3.85 | 900 | 0.8335 | 0.3410 | | 0.8954 | 4.27 | 1000 | 0.8641 | 0.3336 | | 0.8735 | 4.7 | 1100 | 0.8671 | 0.3306 | | 0.8411 | 5.13 | 1200 | 0.8373 | 0.3281 | | 0.805 | 5.56 | 1300 | 0.8197 | 0.3198 | | 0.8452 | 5.98 | 1400 | 0.8343 | 0.3158 | | 0.8078 | 6.41 | 1500 | 0.8392 | 0.3165 | | 0.7946 | 6.84 | 1600 | 0.8214 | 0.3168 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2