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ymoslem
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whisper-medium-ga2en-v5.2.1-r

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Irish
English
whisper
Generated from Trainer
Eval Results
Inference Endpoints
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End of training

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  1. README.md +141 -4
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
 
 
 
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  license: apache-2.0
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  base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
 
 
 
 
 
 
 
 
 
 
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  model-index:
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- - name: whisper-medium-ga2en-v5.2.1-r
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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-medium-ga2en-v5.2.1-r
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- This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 
 
 
 
 
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  ## Model description
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@@ -42,6 +73,112 @@ The following hyperparameters were used during training:
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.41.2
 
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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-medium
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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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+ - ymoslem/Tatoeba-Speech-Irish
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+ - ymoslem/Wikimedia-Speech-Irish
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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, 1 epoch, 10k steps
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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, SpokenWords, Tatoeba, and Wikimedia
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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: 36.12
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+ - name: Wer
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+ type: wer
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+ value: 58.307068887888335
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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, 1 epoch, 10k steps
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3134
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+ - Bleu: 36.12
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+ - Chrf: 53.74
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+ - Wer: 58.3071
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  ## Model description
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Bleu | Chrf | Validation Loss | Wer |
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+ |:-------------:|:------:|:-----:|:-----:|:-----:|:---------------:|:--------:|
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+ | 2.6291 | 0.0109 | 100 | 2.33 | 16.34 | 2.1971 | 175.5516 |
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+ | 2.6591 | 0.0219 | 200 | 5.57 | 22.49 | 2.0357 | 122.2873 |
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+ | 2.5637 | 0.0328 | 300 | 7.67 | 26.29 | 1.8690 | 133.0032 |
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+ | 2.2954 | 0.0438 | 400 | 11.2 | 30.03 | 1.8062 | 114.2278 |
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+ | 2.3292 | 0.0547 | 500 | 9.85 | 29.28 | 1.7421 | 117.2895 |
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+ | 2.1223 | 0.0657 | 600 | 14.56 | 32.56 | 1.6739 | 84.2864 |
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+ | 2.2398 | 0.0766 | 700 | 13.86 | 34.74 | 1.7187 | 98.9644 |
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+ | 2.002 | 0.0876 | 800 | 15.53 | 36.64 | 1.6392 | 96.7582 |
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+ | 1.8611 | 0.0985 | 900 | 15.8 | 36.32 | 1.6283 | 94.3719 |
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+ | 1.8498 | 0.1095 | 1000 | 17.58 | 36.0 | 1.6102 | 85.5921 |
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+ | 1.7585 | 0.1204 | 1100 | 15.91 | 36.61 | 1.6337 | 100.2251 |
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+ | 1.6115 | 0.1314 | 1200 | 22.21 | 39.94 | 1.5381 | 76.8122 |
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+ | 1.4415 | 0.1423 | 1300 | 20.36 | 37.87 | 1.5864 | 79.1986 |
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+ | 1.5103 | 0.1533 | 1400 | 23.2 | 41.26 | 1.4925 | 75.2364 |
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+ | 1.6576 | 0.1642 | 1500 | 18.12 | 40.49 | 1.4508 | 102.9266 |
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+ | 1.3429 | 0.1752 | 1600 | 27.88 | 43.74 | 1.4399 | 69.7884 |
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+ | 1.2522 | 0.1861 | 1700 | 23.04 | 43.31 | 1.4256 | 77.1724 |
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+ | 1.2018 | 0.1970 | 1800 | 21.06 | 40.39 | 1.4072 | 78.6583 |
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+ | 1.1945 | 0.2080 | 1900 | 23.0 | 42.71 | 1.4222 | 76.7222 |
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+ | 1.1869 | 0.2189 | 2000 | 22.54 | 42.02 | 1.3992 | 75.8667 |
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+ | 1.1752 | 0.2299 | 2100 | 20.81 | 41.07 | 1.3926 | 79.5137 |
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+ | 1.0281 | 0.2408 | 2200 | 27.24 | 45.55 | 1.3633 | 69.6083 |
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+ | 0.894 | 0.2518 | 2300 | 28.6 | 45.58 | 1.3287 | 65.8712 |
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+ | 0.9788 | 0.2627 | 2400 | 27.75 | 46.21 | 1.3138 | 69.2931 |
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+ | 0.8418 | 0.2737 | 2500 | 27.85 | 46.17 | 1.3064 | 68.3026 |
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+ | 0.7559 | 0.2846 | 2600 | 28.44 | 48.52 | 1.2903 | 68.3476 |
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+ | 0.8632 | 0.2956 | 2700 | 27.87 | 46.86 | 1.2834 | 68.3476 |
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+ | 0.7501 | 0.3065 | 2800 | 28.63 | 49.25 | 1.2669 | 68.5277 |
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+ | 0.6953 | 0.3175 | 2900 | 30.46 | 48.83 | 1.2615 | 64.4304 |
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+ | 0.7195 | 0.3284 | 3000 | 27.49 | 47.94 | 1.2514 | 71.0941 |
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+ | 0.6155 | 0.3394 | 3100 | 30.06 | 49.64 | 1.2428 | 66.5916 |
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+ | 0.605 | 0.3503 | 3200 | 31.64 | 50.27 | 1.2040 | 63.8451 |
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+ | 0.6349 | 0.3612 | 3300 | 28.96 | 49.35 | 1.2077 | 65.3760 |
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+ | 0.4669 | 0.3722 | 3400 | 31.17 | 48.95 | 1.2219 | 64.2503 |
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+ | 0.5196 | 0.3831 | 3500 | 30.97 | 50.13 | 1.2124 | 63.8001 |
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+ | 0.5141 | 0.3941 | 3600 | 31.97 | 50.8 | 1.2026 | 63.0347 |
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+ | 0.4221 | 0.4050 | 3700 | 31.76 | 51.35 | 1.1893 | 63.4399 |
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+ | 0.2951 | 0.4160 | 3800 | 32.4 | 51.08 | 1.2049 | 63.1247 |
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+ | 0.3898 | 0.4269 | 3900 | 32.15 | 51.09 | 1.1906 | 63.5299 |
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+ | 0.4071 | 0.4379 | 4000 | 33.1 | 51.85 | 1.1873 | 62.4043 |
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+ | 0.3975 | 0.4488 | 4100 | 29.58 | 49.33 | 1.2117 | 70.3287 |
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+ | 0.4206 | 0.4598 | 4200 | 31.69 | 50.8 | 1.2150 | 65.0158 |
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+ | 0.2935 | 0.4707 | 4300 | 32.9 | 50.01 | 1.2484 | 62.8546 |
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+ | 0.3718 | 0.4817 | 4400 | 31.64 | 50.55 | 1.2055 | 63.8451 |
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+ | 0.3722 | 0.4926 | 4500 | 28.16 | 49.28 | 1.2200 | 70.4638 |
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+ | 0.2986 | 0.5036 | 4600 | 28.76 | 49.9 | 1.2240 | 68.7528 |
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+ | 0.3327 | 0.5145 | 4700 | 29.34 | 49.67 | 1.2052 | 67.5822 |
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+ | 0.2489 | 0.5255 | 4800 | 32.52 | 51.77 | 1.2083 | 62.4493 |
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+ | 0.3653 | 0.5364 | 4900 | 31.48 | 51.16 | 1.2166 | 63.8451 |
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+ | 0.3326 | 0.5473 | 5000 | 33.04 | 51.71 | 1.2169 | 62.4493 |
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+ | 0.3045 | 0.5583 | 5100 | 27.45 | 48.22 | 1.2460 | 68.9779 |
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+ | 0.3444 | 0.5692 | 5200 | 33.14 | 50.76 | 1.2829 | 62.2692 |
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+ | 0.3236 | 0.5802 | 5300 | 28.89 | 49.37 | 1.2499 | 70.3737 |
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+ | 0.3004 | 0.5911 | 5400 | 29.89 | 49.29 | 1.3165 | 68.7078 |
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+ | 0.3019 | 0.6021 | 5500 | 32.8 | 49.78 | 1.2782 | 62.8095 |
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+ | 0.2923 | 0.6130 | 5600 | 31.75 | 50.26 | 1.2468 | 63.3498 |
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+ | 0.3237 | 0.6240 | 5700 | 34.4 | 52.59 | 1.2511 | 61.0986 |
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+ | 0.2226 | 0.6349 | 5800 | 30.51 | 50.38 | 1.2479 | 63.3498 |
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+ | 0.2207 | 0.6459 | 5900 | 32.68 | 51.97 | 1.2641 | 62.1342 |
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+ | 0.2017 | 0.6568 | 6000 | 32.47 | 51.36 | 1.2640 | 62.6745 |
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+ | 0.201 | 0.6678 | 6100 | 33.6 | 52.29 | 1.2774 | 61.4588 |
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+ | 0.203 | 0.6787 | 6200 | 30.27 | 50.84 | 1.2670 | 65.6461 |
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+ | 0.1456 | 0.6897 | 6300 | 31.2 | 51.05 | 1.2656 | 63.3048 |
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+ | 0.1607 | 0.7006 | 6400 | 30.39 | 51.04 | 1.2611 | 65.8262 |
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+ | 0.1933 | 0.7115 | 6500 | 31.78 | 50.92 | 1.2545 | 63.0797 |
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+ | 0.1537 | 0.7225 | 6600 | 30.18 | 50.18 | 1.2500 | 64.7006 |
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+ | 0.1279 | 0.7334 | 6700 | 33.23 | 51.0 | 1.2548 | 59.8379 |
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+ | 0.1189 | 0.7444 | 6800 | 33.51 | 50.67 | 1.2594 | 61.1887 |
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+ | 0.1056 | 0.7553 | 6900 | 32.97 | 51.02 | 1.2578 | 61.9991 |
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+ | 0.1105 | 0.7663 | 7000 | 32.74 | 50.83 | 1.2569 | 62.0441 |
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+ | 0.1183 | 0.7772 | 7100 | 34.07 | 52.2 | 1.2590 | 60.4232 |
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+ | 0.1373 | 0.7882 | 7200 | 33.55 | 50.6 | 1.2430 | 61.2787 |
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+ | 0.1325 | 0.7991 | 7300 | 32.36 | 50.39 | 1.2548 | 62.3143 |
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+ | 0.0907 | 0.8101 | 7400 | 32.28 | 50.99 | 1.2578 | 61.2787 |
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+ | 0.0919 | 0.8210 | 7500 | 33.01 | 51.81 | 1.2791 | 60.4683 |
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+ | 0.0852 | 0.8320 | 7600 | 32.97 | 51.56 | 1.2782 | 61.5489 |
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+ | 0.1223 | 0.8429 | 7700 | 33.57 | 52.33 | 1.2638 | 59.9280 |
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+ | 0.0826 | 0.8539 | 7800 | 33.83 | 52.7 | 1.2634 | 60.1531 |
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+ | 0.0783 | 0.8648 | 7900 | 33.79 | 52.31 | 1.2595 | 60.1081 |
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+ | 0.0986 | 0.8758 | 8000 | 34.33 | 52.54 | 1.2608 | 59.4327 |
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+ | 0.1148 | 0.8867 | 8100 | 1.2736| 34.03 | 52.52 | 59.8829 |
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+ | 0.1134 | 0.8976 | 8200 | 1.3073| 34.14 | 51.64 | 61.5038 |
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+ | 0.1166 | 0.9086 | 8300 | 1.3385| 30.51 | 49.26 | 65.5561 |
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+ | 0.0871 | 0.9195 | 8400 | 1.3313| 32.31 | 51.06 | 62.5394 |
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+ | 0.0927 | 0.9305 | 8500 | 1.3898| 28.64 | 48.43 | 69.3832 |
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+ | 0.1012 | 0.9414 | 8600 | 1.3144| 33.12 | 52.02 | 61.4138 |
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+ | 0.0742 | 0.9524 | 8700 | 1.3284| 33.68 | 51.38 | 61.7740 |
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+ | 0.0802 | 0.9633 | 8800 | 1.3300| 34.33 | 51.38 | 61.4138 |
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+ | 0.0799 | 0.9743 | 8900 | 1.3328| 33.72 | 50.77 | 60.1981 |
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+ | 0.0936 | 0.9852 | 9000 | 1.3181| 34.76 | 51.4 | 60.0630 |
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+ | 0.1091 | 0.9962 | 9100 | 1.3096| 35.13 | 52.6 | 59.9730 |
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+ | 0.0427 | 1.0071 | 9200 | 1.2905| 35.49 | 53.12 | 59.8379 |
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+ | 0.0338 | 1.0181 | 9300 | 1.3097| 35.33 | 52.62 | 60.5133 |
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+ | 0.0363 | 1.0290 | 9400 | 1.3172| 35.51 | 53.06 | 59.6128 |
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+ | 0.0319 | 1.0400 | 9500 | 1.3166| 36.82 | 53.6 | 58.3971 |
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+ | 0.0434 | 1.0509 | 9600 | 1.3050| 35.62 | 53.28 | 59.6578 |
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+ | 0.0218 | 1.0619 | 9700 | 1.3096| 35.57 | 53.28 | 59.5227 |
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+ | 0.0316 | 1.0728 | 9800 | 1.3162| 36.14 | 53.87 | 58.3971 |
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+ | 0.0315 | 1.0837 | 9900 | 1.3121| 36.26 | 54.16 | 58.3521 |
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+ | 0.0229 | 1.0947 | 10000 | 1.3134| 36.12 | 53.74 | 58.3071 |
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+
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  ### Framework versions
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  - Transformers 4.41.2
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