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README.md
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---
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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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metrics:
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- wer
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model-index:
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- name: whisper-small_finetuned_sh_chich
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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_finetuned_sh_chich
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8519
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- Wer: 78.0391
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.0093 | 4.39 | 500 | 1.7602 | 81.0872 |
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| 0.0054 | 8.77 | 1000 | 1.8002 | 79.9472 |
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| 0.0064 | 13.16 | 1500 | 1.8589 | 77.7511 |
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| 0.0046 | 17.54 | 2000 | 1.8519 | 78.0391 |
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### Framework versions
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- Transformers 4.31.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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