| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - bayartsogt/mongolian_speech_commands | |
| model-index: | |
| - name: wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands | |
| This model is a fine-tuned version of [bayartsogt/wav2vec2-base-mn-pretrain-42h](https://huggingface.co/bayartsogt/wav2vec2-base-mn-pretrain-42h) on the Mongolian Speech Commands dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.5607 | |
| - eval_mn_acc: 0.9830 | |
| - eval_mn_f1: 0.9857 | |
| - eval_en_acc: 0.8914 | |
| - eval_en_f1: 0.8671 | |
| - eval_runtime: 109.6829 | |
| - eval_samples_per_second: 46.188 | |
| - eval_steps_per_second: 0.365 | |
| - epoch: 6.41 | |
| - step: 4352 | |
| ## 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: 5e-05 | |
| - train_batch_size: 128 | |
| - eval_batch_size: 128 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 8 | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |