| --- |
| language: |
| - mr |
| base_model: simran14/small_8_f |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| model-index: |
| - name: simrank14 Whisper small 7G 4e |
| 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. --> |
|
|
| # simrank14 Whisper small 7G 4e |
|
|
| This model is a fine-tuned version of [simran14/small_8_f](https://huggingface.co/simran14/small_8_f) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.3934 |
| - eval_wer: 15.0836 |
| - eval_runtime: 1238.9157 |
| - eval_samples_per_second: 1.466 |
| - eval_steps_per_second: 0.183 |
| - epoch: 1.1331 |
| - step: 200 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - 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: 100 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.20.1.dev0 |
| - Tokenizers 0.19.1 |
| |
