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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 Medium GA-EN Speech Translation |
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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: 27.06 |
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- name: Wer |
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type: wer |
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value: 73.4804142278253 |
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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 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, and SpokenWords dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2998 |
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- Bleu: 27.06 |
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- Chrf: 47.61 |
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- Wer: 73.4804 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 0.03 |
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- training_steps: 2000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Bleu | Chrf | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.5227 | 0.05 | 100 | 1.05 | 12.82 | 2.4253 | 343.2238 | |
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| 2.4775 | 0.11 | 200 | 10.04 | 24.39 | 2.0665 | 95.2724 | |
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| 2.114 | 0.16 | 300 | 8.79 | 28.6 | 1.9792 | 141.9181 | |
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| 1.9813 | 0.22 | 400 | 17.5 | 33.84 | 1.7596 | 82.8906 | |
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| 1.6979 | 0.27 | 500 | 13.89 | 33.51 | 1.6820 | 115.0383 | |
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| 1.7157 | 0.32 | 600 | 18.54 | 36.44 | 1.5795 | 91.4003 | |
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| 1.3845 | 0.38 | 700 | 19.51 | 39.03 | 1.4989 | 88.7888 | |
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| 1.3803 | 0.43 | 800 | 25.18 | 40.96 | 1.4176 | 69.5182 | |
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| 1.1 | 0.49 | 900 | 28.98 | 44.78 | 1.3666 | 65.9613 | |
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| 1.1843 | 0.54 | 1000 | 27.59 | 45.91 | 1.3298 | 70.4638 | |
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| 1.1317 | 0.59 | 1100 | 1.5018| 20.22 | 41.14 | 86.9878 | |
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| 1.071 | 0.65 | 1200 | 1.4600| 20.67 | 40.43 | 85.6371 | |
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| 1.1542 | 0.7 | 1300 | 1.4114| 26.84 | 43.76 | 69.5182 | |
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| 1.0729 | 0.76 | 1400 | 1.4056| 22.98 | 42.65 | 78.0729 | |
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| 0.8747 | 0.81 | 1500 | 1.3537| 24.65 | 44.89 | 73.4804 | |
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| 0.8626 | 0.86 | 1600 | 1.3391| 28.0 | 46.03 | 68.7978 | |
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| 0.7643 | 0.92 | 1700 | 1.3250| 27.23 | 45.31 | 70.3287 | |
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| 0.6971 | 0.97 | 1800 | 1.2795| 30.05 | 48.28 | 65.5110 | |
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| 0.3055 | 1.02 | 1900 | 1.2994| 27.41 | 47.91 | 71.1842 | |
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| 0.2801 | 1.08 | 2000 | 1.2998| 27.06 | 47.61 | 73.4804 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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