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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: hyperparameter |
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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: 0.6883827458964245 |
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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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# hyperparameter |
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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: 1.4506 |
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- Wer: 0.6884 |
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- Cer: 0.2050 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 100 |
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- training_steps: 300 |
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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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| 3.9694 | 0.1020 | 30 | 3.7782 | 1.8748 | 1.0887 | |
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| 3.3735 | 0.2041 | 60 | 2.9598 | 1.0019 | 0.4254 | |
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| 2.5449 | 0.3061 | 90 | 2.1989 | 0.8820 | 0.3221 | |
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| 1.9987 | 0.4082 | 120 | 1.8648 | 0.8004 | 0.2606 | |
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| 1.7671 | 0.5102 | 150 | 1.6909 | 0.7619 | 0.2312 | |
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| 1.6285 | 0.6122 | 180 | 1.5863 | 0.7336 | 0.2245 | |
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| 1.5475 | 0.7143 | 210 | 1.5251 | 0.7216 | 0.2213 | |
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| 1.4793 | 0.8163 | 240 | 1.4807 | 0.6942 | 0.2035 | |
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| 1.5013 | 0.9184 | 270 | 1.4582 | 0.6904 | 0.2057 | |
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| 1.4438 | 1.0204 | 300 | 1.4506 | 0.6884 | 0.2050 | |
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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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