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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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base_model: openai/whisper-base |
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model-index: |
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- name: whisper-base-full-data-language-v2-20ep |
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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-base-full-data-language-v2-20ep |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co./openai/whisper-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1929 |
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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: 0.00015 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: tpu |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 64 |
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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: 5000 |
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- training_steps: 63840 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3116 | 1.57 | 5000 | 0.5301 | |
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| 0.2104 | 3.13 | 10000 | 0.4066 | |
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| 0.1729 | 4.7 | 15000 | 0.3555 | |
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| 0.1472 | 6.27 | 20000 | 0.3208 | |
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| 0.128 | 7.83 | 25000 | 0.2923 | |
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| 0.1065 | 9.4 | 30000 | 0.2719 | |
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| 0.0995 | 10.97 | 35000 | 0.2516 | |
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| 0.0812 | 12.53 | 40000 | 0.2368 | |
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| 0.066 | 14.1 | 45000 | 0.2230 | |
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| 0.0574 | 15.67 | 50000 | 0.2119 | |
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| 0.0463 | 17.23 | 55000 | 0.2028 | |
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| 0.04 | 18.8 | 60000 | 0.1957 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.1.0a0+gitcc01568 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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