--- library_name: transformers license: cc-by-nc-4.0 base_model: facebook/mms-1b-all tags: - generated_from_trainer model-index: - name: bambara_mms_20_hour_jeli_asr_dataset results: [] --- [Visualize in Weights & Biases](https://wandb.ai/asr-africa-research-team/ASR%20Africa/runs/wq6zc6lt) # bambara_mms_20_hour_jeli_asr_dataset This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown 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: 0.0003 - train_batch_size: 8 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - 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 4.45.1 - Pytorch 2.1.0+cu118 - Datasets 2.17.0 - Tokenizers 0.20.3