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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: ./whisper-large-cit-synth-do015-wd0-lr5e-06-1000 |
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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-large-cit-synth-do015-wd0-lr5e-06-1000 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SF 1000 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4526 |
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- Wer: 20.3899 |
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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: 5e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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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: 100 |
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- training_steps: 500 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.7187 | 0.8889 | 50 | 0.4062 | 24.2105 | |
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| 0.4122 | 1.7778 | 100 | 0.3523 | 22.3782 | |
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| 0.2917 | 2.6667 | 150 | 0.3494 | 23.5867 | |
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| 0.2242 | 3.5556 | 200 | 0.3618 | 23.0019 | |
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| 0.1529 | 4.4444 | 250 | 0.3770 | 22.3392 | |
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| 0.1322 | 5.3333 | 300 | 0.3906 | 21.2476 | |
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| 0.0987 | 6.2222 | 350 | 0.4133 | 20.9747 | |
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| 0.0798 | 7.1111 | 400 | 0.4302 | 23.8986 | |
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| 0.0613 | 8.0 | 450 | 0.4438 | 20.5848 | |
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| 0.0545 | 8.8889 | 500 | 0.4526 | 20.3899 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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