| license: cc-by-nc-4.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - spgispeech_xs | |
| base_model: facebook/mms-300m | |
| model-index: | |
| - name: wav2vec2-large-mms-300m-SPGI-xs | |
| results: | |
| - task: | |
| type: automatic-speech-recognition | |
| name: Automatic Speech Recognition | |
| dataset: | |
| name: Test set for spgispeech | |
| type: kensho/spgispeech | |
| config: test | |
| split: test | |
| metrics: | |
| - type: wer | |
| value: 100.0 | |
| name: WER | |
| - type: cer | |
| value: 91.89 | |
| name: CER | |
| <!-- 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-large-mms-300m-SPGI-xs | |
| This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on the spgispeech_xs dataset. | |
| ## 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: 0.001 | |
| - 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: 100 | |
| - training_steps: 120 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.36.0.dev0 | |
| - Pytorch 1.12.1+cu116 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.15.0 | |