--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: 20220517-045629 results: [] --- # 20220517-045629 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3700 - Wer: 0.4581 - Cer: 0.0854 ## 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: 8 - eval_batch_size: 8 - seed: 1339 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| | 5.238 | 0.29 | 200 | 3.1770 | 1.0 | 1.0 | | 2.165 | 0.59 | 400 | 0.7309 | 0.7144 | 0.1543 | | 0.7022 | 0.88 | 600 | 0.4614 | 0.5521 | 0.1058 | | 0.5114 | 1.17 | 800 | 0.4202 | 0.4998 | 0.0965 | | 0.4482 | 1.47 | 1000 | 0.3786 | 0.4645 | 0.0877 | | 0.4082 | 1.76 | 1200 | 0.3700 | 0.4581 | 0.0854 | ### Framework versions - Transformers 4.18.0.dev0 - Pytorch 1.10.0+cu113 - Datasets 2.1.0 - Tokenizers 0.11.6