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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-en-US |
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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: PolyAI/minds14 |
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type: PolyAI/minds14 |
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config: en-AU |
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split: train |
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args: en-AU |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.19386369807222373 |
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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-tiny-en-US |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5874 |
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- Wer Ortho: 0.1978 |
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- Wer: 0.1939 |
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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: 5 |
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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| No log | 0.36 | 10 | 0.5445 | 0.1970 | 0.1930 | |
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| No log | 0.71 | 20 | 0.5571 | 0.1973 | 0.1939 | |
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| 0.0009 | 1.07 | 30 | 0.5571 | 0.1981 | 0.1936 | |
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| 0.0009 | 1.43 | 40 | 0.5535 | 0.1958 | 0.1920 | |
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| 0.0024 | 1.79 | 50 | 0.5568 | 0.1967 | 0.1930 | |
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| 0.0024 | 2.14 | 60 | 0.5679 | 0.2024 | 0.1996 | |
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| 0.0024 | 2.5 | 70 | 0.5574 | 0.1970 | 0.1944 | |
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| 0.0019 | 2.86 | 80 | 0.5454 | 0.1956 | 0.1936 | |
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| 0.0019 | 3.21 | 90 | 0.5541 | 0.2044 | 0.1982 | |
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| 0.0043 | 3.57 | 100 | 0.5330 | 0.1998 | 0.1936 | |
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| 0.0043 | 3.93 | 110 | 0.5524 | 0.1981 | 0.1958 | |
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| 0.0043 | 4.29 | 120 | 0.5482 | 0.1958 | 0.1933 | |
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| 0.0043 | 4.64 | 130 | 0.5554 | 0.1984 | 0.1952 | |
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| 0.0043 | 5.0 | 140 | 0.5634 | 0.1998 | 0.1949 | |
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| 0.001 | 5.36 | 150 | 0.5526 | 0.1990 | 0.1930 | |
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| 0.001 | 5.71 | 160 | 0.5511 | 0.1973 | 0.1920 | |
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| 0.001 | 6.07 | 170 | 0.5548 | 0.1953 | 0.1917 | |
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| 0.0006 | 6.43 | 180 | 0.5589 | 0.2047 | 0.1998 | |
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| 0.0006 | 6.79 | 190 | 0.5657 | 0.2027 | 0.1982 | |
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| 0.0004 | 7.14 | 200 | 0.5686 | 0.1961 | 0.1933 | |
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| 0.0004 | 7.5 | 210 | 0.5714 | 0.1944 | 0.1911 | |
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| 0.0004 | 7.86 | 220 | 0.5710 | 0.1976 | 0.1941 | |
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| 0.0002 | 8.21 | 230 | 0.5656 | 0.1973 | 0.1925 | |
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| 0.0002 | 8.57 | 240 | 0.5661 | 0.1981 | 0.1928 | |
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| 0.0001 | 8.93 | 250 | 0.5688 | 0.1984 | 0.1930 | |
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| 0.0001 | 9.29 | 260 | 0.5720 | 0.1967 | 0.1920 | |
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| 0.0001 | 9.64 | 270 | 0.5745 | 0.1970 | 0.1930 | |
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| 0.0001 | 10.0 | 280 | 0.5758 | 0.1964 | 0.1925 | |
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| 0.0001 | 10.36 | 290 | 0.5767 | 0.1970 | 0.1930 | |
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| 0.0001 | 10.71 | 300 | 0.5780 | 0.1978 | 0.1941 | |
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| 0.0001 | 11.07 | 310 | 0.5793 | 0.1978 | 0.1941 | |
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| 0.0001 | 11.43 | 320 | 0.5803 | 0.1976 | 0.1939 | |
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| 0.0001 | 11.79 | 330 | 0.5815 | 0.1973 | 0.1933 | |
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| 0.0001 | 12.14 | 340 | 0.5824 | 0.1973 | 0.1933 | |
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| 0.0001 | 12.5 | 350 | 0.5833 | 0.1973 | 0.1933 | |
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| 0.0001 | 12.86 | 360 | 0.5843 | 0.1970 | 0.1933 | |
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| 0.0001 | 13.21 | 370 | 0.5850 | 0.1976 | 0.1936 | |
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| 0.0001 | 13.57 | 380 | 0.5856 | 0.1978 | 0.1939 | |
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| 0.0001 | 13.93 | 390 | 0.5865 | 0.1978 | 0.1939 | |
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| 0.0001 | 14.29 | 400 | 0.5874 | 0.1978 | 0.1939 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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