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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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- ymoslem/Tatoeba-Speech-Irish |
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- ymoslem/Wikimedia-Speech-Irish |
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- ymoslem/Tatoeba-Speech-Irish-Noise-002 |
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- ymoslem/Wikimedia-Speech-Irish-Noise-002 |
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model-index: |
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- name: Whisper Small GA-EN Speech Translation |
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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 Small GA-EN Speech Translation |
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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, SpokenWords, Tatoeba, and Wikimedia dataset. |
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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: 0.03 |
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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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| **Step** | **Training Loss** | **Validation Loss** | **Bleu** | **Chrf** | **Wer** | |
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|---------:|------------------:|--------------------:|----------:|----------:|-----------:| |
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| 100 | 2.351300 | 1.908078 | 6.230000 | 21.980000 | 117.424584 | |
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| 200 | 1.831200 | 1.567262 | 10.800000 | 30.010000 | 109.770374 | |
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| 300 | 1.494100 | 1.421244 | 13.550000 | 33.480000 | 120.306168 | |
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| 400 | 1.309900 | 1.326882 | 19.540000 | 41.060000 | 77.217470 | |
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| 500 | 1.069600 | 1.285087 | 19.100000 | 40.230000 | 95.767672 | |
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| 600 | 0.889600 | 1.255216 | 16.450000 | 38.590000 | 110.445745 | |
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| 700 | 0.783700 | 1.204875 | 30.430000 | 47.940000 | 63.574966 | |
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| 800 | 0.653300 | 1.213243 | 24.280000 | 43.240000 | 72.219721 | |
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| 900 | 0.585300 | 1.246309 | 29.130000 | 44.890000 | 64.295362 | |
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| 1000 | 0.471100 | 1.236493 | 26.550000 | 45.000000 | 70.688879 | |
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| 1100 | 0.228500 | 1.271864 | 26.430000 | 45.950000 | 73.525439 | |
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| 1200 | 0.213200 | 1.297864 | 28.940000 | 45.720000 | 65.736155 | |
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| 1300 | 0.184800 | 1.262461 | 27.330000 | 46.820000 | 72.264746 | |
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| 1400 | 0.195100 | 1.283275 | 29.740000 | 46.850000 | 64.745610 | |
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| 1500 | 0.172600 | 1.252396 | 29.330000 | 46.390000 | 64.655561 | |
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| 1600 | 0.164400 | 1.295237 | 25.880000 | 45.290000 | 74.110761 | |
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| 1700 | 0.144700 | 1.291115 | 24.490000 | 44.950000 | 71.994597 | |
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| 1800 | 0.148200 | 1.260603 | 29.300000 | 46.220000 | 63.935164 | |
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| 1900 | 0.115800 | 1.292712 | 29.480000 | 46.770000 | 63.980189 | |
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| 2000 | 0.105900 | 1.293839 | 29.150000 | 47.870000 | 67.086898 | |
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| 2100 | 0.086100 | 1.295070 | 28.820000 | 47.200000 | 64.700585 | |
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| 2200 | 0.035700 | 1.303162 | 30.170000 | 47.570000 | 64.745610 | |
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| 2300 | 0.032700 | 1.324677 | 27.020000 | 45.370000 | 73.075191 | |
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| 2400 | 0.031700 | 1.286437 | 30.480000 | 48.450000 | 63.619991 | |
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| 2500 | 0.031200 | 1.305244 | 32.510000 | 49.490000 | 61.278703 | |
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| 2600 | 0.027300 | 1.306147 | 31.860000 | 49.900000 | 63.124719 | |
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| 2700 | 0.027000 | 1.321022 | 32.000000 | 49.300000 | 63.124719 | |
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| 2800 | 0.023100 | 1.305768 | 32.190000 | 49.760000 | 61.413778 | |
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| 2900 | 0.020800 | 1.319407 | 32.070000 | 48.470000 | 62.179199 | |
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| 3000 | 0.022800 | 1.318355 | 32.150000 | 48.490000 | 61.638901 | |
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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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