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--- |
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language: |
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- ga |
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- en |
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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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datasets: |
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- ymoslem/IWSLT2023-GA-EN |
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- ymoslem/FLEURS-GA-EN |
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- ymoslem/BitesizeIrish-GA-EN |
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- ymoslem/SpokenWords-GA-EN-MTed |
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metrics: |
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- bleu |
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- wer |
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model-index: |
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- name: Whisper Small GA-EN Speech Translation Raw + warmup_ratio=0.01 |
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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: IWSLT-2023, FLEURS, BiteSize, and SpokenWords |
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type: ymoslem/IWSLT2023-GA-EN |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 30.14 |
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- name: Wer |
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type: wer |
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value: 68.75281404772625 |
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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 GA-EN Speech Translation Raw + warmup_ratio=0.01 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the IWSLT-2023, FLEURS, BiteSize, and SpokenWords dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6820 |
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- Bleu: 30.14 |
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- Chrf: 44.97 |
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- Wer: 68.7528 |
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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: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.01 |
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- training_steps: 3000 |
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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 | Bleu | Chrf | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-----:|:-----:|:--------:| |
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| 2.0448 | 0.2155 | 100 | 1.7532 | 10.55 | 28.24 | 117.7848 | |
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| 1.5028 | 0.4310 | 200 | 1.5587 | 17.12 | 35.11 | 93.2913 | |
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| 1.3161 | 0.6466 | 300 | 1.5073 | 17.41 | 37.84 | 104.0973 | |
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| 1.0537 | 0.8621 | 400 | 1.4560 | 17.49 | 38.19 | 103.8721 | |
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| 0.4704 | 1.0776 | 500 | 1.4946 | 16.44 | 36.79 | 102.9266 | |
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| 0.4589 | 1.2931 | 600 | 1.5117 | 21.55 | 38.66 | 82.6204 | |
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| 0.4343 | 1.5086 | 700 | 1.5146 | 24.5 | 41.43 | 75.5966 | |
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| 0.4068 | 1.7241 | 800 | 1.4547 | 28.37 | 45.27 | 65.6011 | |
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| 0.3757 | 1.9397 | 900 | 1.4957 | 27.0 | 43.66 | 67.4471 | |
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| 0.1388 | 2.1552 | 1000 | 1.5642 | 26.72 | 41.74 | 66.5016 | |
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| 0.1472 | 2.3707 | 1100 | 1.5845 | 27.74 | 42.67 | 68.1675 | |
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| 0.1408 | 2.5862 | 1200 | 1.5932 | 28.95 | 44.07 | 65.4660 | |
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| 0.1436 | 2.8017 | 1300 | 1.5808 | 27.66 | 42.71 | 68.3476 | |
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| 0.1094 | 3.0172 | 1400 | 1.5684 | 27.1 | 43.29 | 71.3643 | |
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| 0.0677 | 3.2328 | 1500 | 1.6287 | 26.92 | 42.33 | 68.4376 | |
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| 0.0567 | 3.4483 | 1600 | 1.6431 | 23.58 | 42.85 | 81.7199 | |
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| 0.0594 | 3.6638 | 1700 | 1.6084 | 26.54 | 42.45 | 77.4426 | |
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| 0.0623 | 3.8793 | 1800 | 1.5817 | 29.29 | 45.85 | 67.8523 | |
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| 0.0323 | 4.0948 | 1900 | 1.6630 | 29.24 | 43.47 | 67.5822 | |
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| 0.0317 | 4.3103 | 2000 | 1.6494 | 26.43 | 43.4 | 73.3904 | |
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| 0.0325 | 4.5259 | 2100 | 1.6968 | 27.06 | 42.4 | 68.5277 | |
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| 0.025 | 4.7414 | 2200 | 1.6436 | 29.16 | 44.24 | 67.5371 | |
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| 0.0316 | 4.9569 | 2300 | 1.6412 | 29.9 | 46.15 | 66.5016 | |
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| 0.0159 | 5.1724 | 2400 | 1.6714 | 29.56 | 44.68 | 66.7717 | |
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| 0.0158 | 5.3879 | 2500 | 1.6458 | 29.56 | 45.46 | 65.8262 | |
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| 0.015 | 5.6034 | 2600 | 1.6595 | 29.97 | 44.9 | 68.0774 | |
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| 0.0145 | 5.8190 | 2700 | 1.6545 | 31.15 | 46.35 | 65.6461 | |
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| 0.0106 | 6.0345 | 2800 | 1.6724 | 30.24 | 45.36 | 66.8618 | |
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| 0.0076 | 6.25 | 2900 | 1.6834 | 30.25 | 45.13 | 67.9424 | |
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| 0.0049 | 6.4655 | 3000 | 1.6820 | 30.14 | 44.97 | 68.7528 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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