--- license: apache-2.0 base_model: facebook/wav2vec2-large-xlsr-53 tags: - automatic-speech-recognition - DewiBrynJones/banc-trawsgrifiadau-bangor-normalized - generated_from_trainer metrics: - wer model-index: - name: wav2vec2-xlsr-53-ft-btb-cy results: [] --- # wav2vec2-xlsr-53-ft-btb-cy This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-NORMALIZED - DEFAULT dataset. It achieves the following results on the evaluation set: - Loss: 0.4159 - Wer: 0.3171 ## 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: 0.0003 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 2600 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:------:|:----:|:---------------:|:------:| | No log | 0.1414 | 100 | 3.4000 | 1.0 | | No log | 0.2829 | 200 | 2.9513 | 1.0 | | No log | 0.4243 | 300 | 1.9454 | 0.9325 | | No log | 0.5658 | 400 | 1.1412 | 0.7730 | | 3.2243 | 0.7072 | 500 | 0.9250 | 0.6789 | | 3.2243 | 0.8487 | 600 | 0.8018 | 0.5983 | | 3.2243 | 0.9901 | 700 | 0.7182 | 0.5409 | | 3.2243 | 1.1315 | 800 | 0.6198 | 0.4770 | | 3.2243 | 1.2730 | 900 | 0.6102 | 0.4712 | | 0.7983 | 1.4144 | 1000 | 0.5605 | 0.4426 | | 0.7983 | 1.5559 | 1100 | 0.5336 | 0.4162 | | 0.7983 | 1.6973 | 1200 | 0.5259 | 0.4116 | | 0.7983 | 1.8388 | 1300 | 0.4960 | 0.3872 | | 0.7983 | 1.9802 | 1400 | 0.4857 | 0.3868 | | 0.6274 | 2.1216 | 1500 | 0.4689 | 0.3656 | | 0.6274 | 2.2631 | 1600 | 0.4680 | 0.3562 | | 0.6274 | 2.4045 | 1700 | 0.4536 | 0.3535 | | 0.6274 | 2.5460 | 1800 | 0.4486 | 0.3501 | | 0.6274 | 2.6874 | 1900 | 0.4396 | 0.3505 | | 0.4939 | 2.8289 | 2000 | 0.4299 | 0.3340 | | 0.4939 | 2.9703 | 2100 | 0.4292 | 0.3311 | | 0.4939 | 3.1117 | 2200 | 0.4276 | 0.3271 | | 0.4939 | 3.2532 | 2300 | 0.4233 | 0.3260 | | 0.4939 | 3.3946 | 2400 | 0.4192 | 0.3223 | | 0.4072 | 3.5361 | 2500 | 0.4179 | 0.3195 | | 0.4072 | 3.6775 | 2600 | 0.4159 | 0.3171 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1