--- license: cc-by-nc-4.0 base_model: Umong/wav2vec2-large-mms-1b-bengali tags: - generated_from_trainer model-index: - name: Umong/wav2vec2-large-mms-1b-bengali results: [] --- # Umong/wav2vec2-large-mms-1b-bengali This model is a fine-tuned version of [Umong/wav2vec2-large-mms-1b-bengali](https://huggingface.co/Umong/wav2vec2-large-mms-1b-bengali) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 0.8979 - eval_runtime: 77.1222 - eval_samples_per_second: 6.483 - eval_steps_per_second: 1.621 - epoch: 0.84 - step: 9000 ## 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: 2e-06 - train_batch_size: 2 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 2000 - num_epochs: 1 ### Framework versions - Transformers 4.33.3 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3