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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: em_wav |
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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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# em_wav |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6818 |
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- Wer: 96.8954 |
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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: 8 |
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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: 500 |
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- training_steps: 1000 |
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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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| 3.9478 | 0.08 | 100 | 3.4707 | 99.1013 | |
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| 2.5514 | 0.16 | 200 | 2.4346 | 96.7116 | |
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| 1.7725 | 0.24 | 300 | 1.7743 | 99.9387 | |
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| 1.752 | 0.32 | 400 | 1.7586 | 97.1201 | |
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| 1.7447 | 0.4 | 500 | 1.7461 | 98.1413 | |
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| 1.7118 | 0.48 | 600 | 1.7304 | 97.1201 | |
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| 1.6823 | 0.56 | 700 | 1.7147 | 97.1201 | |
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| 1.7535 | 0.65 | 800 | 1.6987 | 97.8145 | |
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| 1.6772 | 0.73 | 900 | 1.6895 | 97.7941 | |
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| 1.6552 | 0.81 | 1000 | 1.6818 | 96.8954 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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