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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny.en |
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tags: |
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- generated_from_trainer |
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datasets: |
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- lalipa/jv_id_asr_split |
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metrics: |
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- wer |
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model-index: |
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- name: from-scratch |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: lalipa/jv_id_asr_split jv_id_asr_source |
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type: lalipa/jv_id_asr_split |
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config: jv_id_asr_source |
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split: validation |
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args: jv_id_asr_source |
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metrics: |
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- name: Wer |
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type: wer |
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value: 6.432243287950121 |
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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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# from-scratch |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the lalipa/jv_id_asr_split jv_id_asr_source dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 10.8537 |
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- Wer: 6.4322 |
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- Cer: 9.6337 |
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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: 32 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 150 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
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| 10.8562 | 0.2041 | 30 | 10.8560 | 17.0625 | 24.9361 | |
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| 10.8557 | 0.4082 | 60 | 10.8553 | 20.3833 | 28.0200 | |
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| 10.8549 | 0.6122 | 90 | 10.8545 | 11.6823 | 17.2418 | |
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| 10.8542 | 0.8163 | 120 | 10.8539 | 10.5108 | 15.8910 | |
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| 10.8538 | 1.0204 | 150 | 10.8537 | 6.4322 | 9.6337 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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