--- license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer metrics: - wer model-index: - name: w2v2-base-pretrained_lr1e-4_at0.9_da1 results: [] --- # w2v2-base-pretrained_lr1e-4_at0.9_da1 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 16.9074 - 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: 0.0001 - train_batch_size: 32 - 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: 1000 - num_epochs: 60 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:----:|:---------------:|:---:| | 25.5111 | 6.1 | 250 | 21.0169 | 1.0 | | 8.8611 | 12.2 | 500 | 18.3862 | 1.0 | | 8.2182 | 18.29 | 750 | 16.3061 | 1.0 | | 8.1364 | 24.39 | 1000 | 15.6357 | 1.0 | | 8.1315 | 30.49 | 1250 | 17.5602 | 1.0 | | 8.1532 | 36.59 | 1500 | 16.3879 | 1.0 | | 8.0249 | 42.68 | 1750 | 17.4829 | 1.0 | | 8.0482 | 48.78 | 2000 | 16.9106 | 1.0 | | 8.0999 | 54.88 | 2250 | 16.9074 | 1.0 | ### Framework versions - Transformers 4.35.0 - Pytorch 2.0.0 - Datasets 2.14.6 - Tokenizers 0.14.1