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---
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language:
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- bn
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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datasets:
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- Bengali, Kaggle competition
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model-index:
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- name: whisper-small bn
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-small bn
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Bengali, Kaggle competition dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1069
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- eval_wer_ortho: 0.3909
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- eval_wer: 0.1697
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- eval_runtime: 31948.7278
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- eval_samples_per_second: 0.926
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- eval_steps_per_second: 0.463
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- epoch: 0.1
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- step: 1500
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 4000
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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