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--- |
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license: apache-2.0 |
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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-tiny-v2-ta_tf32_adamBetas_2 |
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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-tiny-v2-ta_tf32_adamBetas_2 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3491 |
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- Wer: 43.1477 |
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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: 1.5e-05 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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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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| 0.6508 | 0.11 | 300 | 0.5656 | 54.3341 | |
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| 0.4612 | 0.21 | 600 | 0.4615 | 50.4600 | |
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| 0.408 | 0.32 | 900 | 0.4190 | 47.4576 | |
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| 0.3692 | 0.42 | 1200 | 0.4001 | 52.0581 | |
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| 0.3486 | 0.53 | 1500 | 0.3858 | 51.2349 | |
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| 0.3245 | 0.63 | 1800 | 0.3791 | 45.6174 | |
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| 0.3274 | 0.74 | 2100 | 0.3632 | 42.1792 | |
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| 0.2985 | 0.84 | 2400 | 0.3566 | 43.7288 | |
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| 0.2849 | 0.95 | 2700 | 0.3548 | 43.3898 | |
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| 0.2717 | 1.05 | 3000 | 0.3491 | 43.1477 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 1.12.1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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