--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: torgo_xlsr_finetune_F04 results: [] --- # torgo_xlsr_finetune_F04 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.4132 - Wer: 0.2275 ## 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: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | |:-------------:|:-----:|:-----:|:---------------:|:------:| | 3.4699 | 0.85 | 1000 | 3.2861 | 1.0 | | 2.1971 | 1.69 | 2000 | 2.0008 | 0.8514 | | 0.9545 | 2.54 | 3000 | 1.4512 | 0.6358 | | 0.6665 | 3.39 | 4000 | 1.4047 | 0.5008 | | 0.5094 | 4.24 | 5000 | 1.3973 | 0.4457 | | 0.4719 | 5.08 | 6000 | 1.4290 | 0.4066 | | 0.4183 | 5.93 | 7000 | 1.4807 | 0.3761 | | 0.3525 | 6.78 | 8000 | 1.5710 | 0.3667 | | 0.3112 | 7.63 | 9000 | 1.4555 | 0.3268 | | 0.2876 | 8.47 | 10000 | 1.4537 | 0.2988 | | 0.2321 | 9.32 | 11000 | 1.6268 | 0.3200 | | 0.2456 | 10.17 | 12000 | 1.3804 | 0.2852 | | 0.2376 | 11.02 | 13000 | 1.6112 | 0.3141 | | 0.2169 | 11.86 | 14000 | 1.4480 | 0.2988 | | 0.2106 | 12.71 | 15000 | 1.6790 | 0.2929 | | 0.2055 | 13.56 | 16000 | 1.5383 | 0.2963 | | 0.1601 | 14.41 | 17000 | 1.4142 | 0.2555 | | 0.1631 | 15.25 | 18000 | 1.5318 | 0.2470 | | 0.1481 | 16.1 | 19000 | 1.6078 | 0.2453 | | 0.1374 | 16.95 | 20000 | 1.3588 | 0.2360 | | 0.1349 | 17.8 | 21000 | 1.3788 | 0.2309 | | 0.1284 | 18.64 | 22000 | 1.4818 | 0.2326 | | 0.1328 | 19.49 | 23000 | 1.4132 | 0.2275 | ### Framework versions - Transformers 4.26.1 - Pytorch 2.2.1 - Datasets 2.18.0 - Tokenizers 0.13.3