| --- |
| 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: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # 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 |
| |
