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--- |
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language: |
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- fa |
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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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- fa-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Fa - Javad Razavian |
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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: Common Voice 16.0 |
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type: mozilla-foundation/common_voice_16_0 |
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config: fa |
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split: test |
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args: 'config: fa, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 94.28095502498613 |
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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 Fa - Javad Razavian |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9459 |
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- Wer: 94.2810 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 256 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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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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| 4.6309 | 0.08 | 100 | 4.1290 | 140.4220 | |
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| 2.5371 | 0.16 | 200 | 2.5264 | 128.3176 | |
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| 1.5224 | 0.24 | 300 | 1.7147 | 120.6830 | |
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| 1.2351 | 0.33 | 400 | 1.4970 | 112.3542 | |
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| 1.073 | 0.41 | 500 | 1.3917 | 103.7479 | |
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| 1.0077 | 0.49 | 600 | 1.3232 | 104.2199 | |
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| 0.9541 | 0.57 | 700 | 1.2781 | 99.6669 | |
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| 0.8933 | 0.65 | 800 | 1.2369 | 99.8612 | |
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| 0.8746 | 0.73 | 900 | 1.2076 | 99.5003 | |
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| 0.8306 | 0.81 | 1000 | 1.1809 | 99.8890 | |
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| 0.8309 | 0.89 | 1100 | 1.1583 | 96.5297 | |
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| 0.7982 | 0.98 | 1200 | 1.1370 | 94.2254 | |
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| 0.7719 | 1.06 | 1300 | 1.1243 | 96.8351 | |
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| 0.7799 | 1.14 | 1400 | 1.1065 | 92.6707 | |
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| 0.7512 | 1.22 | 1500 | 1.0941 | 93.1427 | |
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| 0.7212 | 1.3 | 1600 | 1.0838 | 94.6696 | |
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| 0.7315 | 1.38 | 1700 | 1.0709 | 96.0855 | |
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| 0.7002 | 1.46 | 1800 | 1.0595 | 96.0022 | |
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| 0.719 | 1.54 | 1900 | 1.0517 | 94.7807 | |
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| 0.7157 | 1.63 | 2000 | 1.0420 | 95.5303 | |
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| 0.7004 | 1.71 | 2100 | 1.0337 | 94.2810 | |
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| 0.6792 | 1.79 | 2200 | 1.0278 | 96.7518 | |
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| 0.6933 | 1.87 | 2300 | 1.0196 | 95.7801 | |
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| 0.669 | 1.95 | 2400 | 1.0113 | 98.0566 | |
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| 0.6627 | 2.03 | 2500 | 1.0063 | 96.8351 | |
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| 0.655 | 2.11 | 2600 | 1.0006 | 96.0577 | |
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| 0.6511 | 2.2 | 2700 | 0.9939 | 97.0572 | |
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| 0.6352 | 2.28 | 2800 | 0.9899 | 95.4470 | |
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| 0.6339 | 2.36 | 2900 | 0.9874 | 97.2238 | |
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| 0.6354 | 2.44 | 3000 | 0.9820 | 96.8351 | |
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| 0.611 | 2.52 | 3100 | 0.9777 | 94.5308 | |
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| 0.6143 | 2.6 | 3200 | 0.9752 | 99.0006 | |
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| 0.6242 | 2.68 | 3300 | 0.9729 | 98.7229 | |
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| 0.6324 | 2.76 | 3400 | 0.9681 | 99.1394 | |
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| 0.6237 | 2.85 | 3500 | 0.9646 | 96.8906 | |
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| 0.6285 | 2.93 | 3600 | 0.9621 | 96.1410 | |
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| 0.5934 | 3.01 | 3700 | 0.9601 | 97.4736 | |
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| 0.6129 | 3.09 | 3800 | 0.9575 | 92.9761 | |
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| 0.6154 | 3.17 | 3900 | 0.9575 | 97.5847 | |
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| 0.6334 | 3.25 | 4000 | 0.9555 | 101.0827 | |
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| 0.5956 | 3.33 | 4100 | 0.9536 | 94.7529 | |
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| 0.5956 | 3.41 | 4200 | 0.9507 | 100.3054 | |
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| 0.6053 | 3.5 | 4300 | 0.9504 | 94.5308 | |
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| 0.6199 | 3.58 | 4400 | 0.9491 | 95.0861 | |
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| 0.6064 | 3.66 | 4500 | 0.9482 | 91.8656 | |
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| 0.6154 | 3.74 | 4600 | 0.9478 | 94.1144 | |
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| 0.5909 | 3.82 | 4700 | 0.9466 | 91.5047 | |
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| 0.584 | 3.9 | 4800 | 0.9459 | 94.1144 | |
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| 0.5935 | 3.98 | 4900 | 0.9459 | 94.0589 | |
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| 0.5939 | 4.07 | 5000 | 0.9459 | 94.2810 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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