| license: apache-2.0 | |
| base_model: facebook/wav2vec2-xls-r-300m | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: bambara-10-hours-bambara-asr-hf | |
| 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. --> | |
| # bambara-10-hours-bambara-asr-hf | |
| This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.6353 | |
| - eval_wer: 0.4848 | |
| - eval_cer: 0.2216 | |
| - eval_runtime: 142.6245 | |
| - eval_samples_per_second: 43.141 | |
| - eval_steps_per_second: 2.699 | |
| - epoch: 41.93 | |
| - step: 14800 | |
| ## 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: 16 | |
| - 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 | |
| - num_epochs: 50 | |
| ### Framework versions | |
| - Transformers 4.38.1 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.17.0 | |
| - Tokenizers 0.15.2 | |