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---
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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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model-index:
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- name: whisper-small-ga2en-v3.2-r
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results: []
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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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language:
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- ga
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- en
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metrics:
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- bleu
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- wer
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- chrf
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library_name: transformers
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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-ga2en-v3.2-r |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) |
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on the IWSLT-2023, FLEURS, BiteSize, SpokenWords, Tatoeba, and Wikimedia datasets. |
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The best model checkpoint (this version) based on ChrF is at step 2700, epoch 3.5433, and |
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it achieves the following results on the evaluation set: |
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- Loss: 1.4313 |
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- Bleu: 30.87 |
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- Chrf: 47.72 |
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- Wer: 64.2954 |
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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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### Hardware |
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1 NVIDIA A100-SXM4-80GB |
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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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- 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 |2.311900 |1.773697 |9.20 |28.23 |120.486267| |
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|200 |1.870000 |1.479052 |16.90 |33.01 |83.701036| |
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|300 |1.627700 |1.372679 |20.33 |38.68 |84.061234| |
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|400 |1.460400 |1.309611 |24.52 |40.37 |74.696083| |
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|500 |1.336300 |1.283173 |20.35 |40.77 |86.537596| |
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|600 |1.193300 |1.255632 |20.63 |41.37 |95.632598| |
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|700 |1.015600 |1.251285 |21.24 |41.42 |82.170194| |
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|800 |0.518300 |1.292586 |28.08 |44.76 |66.951824| |
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|900 |0.467300 |1.329429 |25.16 |42.93 |76.316974| |
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|1000 |0.438700 |1.330984 |28.29 |46.08 |67.672220| |
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|1100 |0.403600 |1.300828 |27.43 |46.32 |68.977938| |
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|1200 |0.379500 |1.323791 |30.02 |45.48 |63.800090| |
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|1300 |0.337100 |1.327949 |30.40 |47.61 |61.999100| |
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|1400 |0.288000 |1.359497 |28.13 |44.60 |66.501576| |
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|1500 |0.265100 |1.355470 |26.58 |45.51 |71.319226| |
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|1600 |0.100800 |1.400149 |26.19 |46.02 |72.985142| |
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|1700 |0.092300 |1.383455 |24.83 |46.18 |77.532643| |
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|1800 |0.103900 |1.404863 |22.19 |43.19 |88.743809| |
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|1900 |0.090100 |1.402833 |29.73 |45.85 |66.186403| |
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|2000 |0.084200 |1.418717 |28.18 |45.29 |73.570464| |
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|2100 |0.074800 |1.461650 |26.58 |44.66 |74.020711| |
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|2200 |0.072000 |1.400547 |31.01 |47.30 |61.143629| |
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|2300 |0.042900 |1.424147 |28.72 |45.53 |65.511031| |
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|2400 |0.025200 |1.412174 |27.18 |47.19 |74.020711| |
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|2500 |0.026500 |1.438945 |30.01 |46.73 |65.105808| |
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|2600 |0.023300 |1.454140 |30.93 |46.65 |62.404322| |
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|2700 |0.021600 |1.431275 |30.87 |47.72 |64.295362| |
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|2800 |0.019200 |1.439022 |30.50 |46.98 |65.150833| |
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|2900 |0.018200 |1.439916 |31.09 |47.27 |63.529941| |
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|3000 |0.019000 |1.444545 |30.83 |47.35 |64.205313| |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
