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--- |
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language: |
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- lb |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper tiny LB - AKABI |
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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: google/fleurs |
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type: google/fleurs |
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config: lb_lu |
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split: test |
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args: lb_lu |
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metrics: |
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- name: Wer |
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type: wer |
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value: 60.18671593892832 |
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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 tiny LB - AKABI |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the google/fleurs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4215 |
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- Wer Ortho: 62.8649 |
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- Wer: 60.1867 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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_steps: 50 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.9979 | 1.37 | 250 | 1.5394 | 73.1448 | 73.3298 | |
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| 0.6784 | 2.75 | 500 | 1.2998 | 66.9095 | 64.8060 | |
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| 0.3773 | 4.12 | 750 | 1.2317 | 63.9250 | 61.5385 | |
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| 0.2906 | 5.49 | 1000 | 1.2117 | 63.0759 | 60.3958 | |
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| 0.2052 | 6.87 | 1250 | 1.2157 | 64.1913 | 62.0685 | |
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| 0.1155 | 8.24 | 1500 | 1.2432 | 61.6791 | 59.6130 | |
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| 0.0912 | 9.62 | 1750 | 1.2684 | 63.0056 | 60.3229 | |
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| 0.0698 | 10.99 | 2000 | 1.2937 | 63.6788 | 60.9598 | |
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| 0.0396 | 12.36 | 2250 | 1.3224 | 62.7996 | 60.2451 | |
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| 0.0309 | 13.74 | 2500 | 1.3480 | 62.1514 | 59.4622 | |
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| 0.0205 | 15.11 | 2750 | 1.3696 | 62.1715 | 59.5303 | |
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| 0.017 | 16.48 | 3000 | 1.3895 | 62.0761 | 59.8074 | |
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| 0.0151 | 17.86 | 3250 | 1.4016 | 62.7745 | 60.0360 | |
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| 0.0125 | 19.23 | 3500 | 1.4126 | 62.8900 | 60.5952 | |
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| 0.012 | 20.6 | 3750 | 1.4202 | 63.0709 | 60.3909 | |
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| 0.0115 | 21.98 | 4000 | 1.4215 | 62.8649 | 60.1867 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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