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--- |
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license: apache-2.0 |
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base_model: openai/whisper-base |
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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-base-atcosim |
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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-atcosim |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Wer: 100.8983 |
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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-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: 10 |
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- training_steps: 100 |
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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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| 0.0 | 0.01 | 5 | nan | 100.8983 | |
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| 0.0 | 0.02 | 10 | nan | 100.8983 | |
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| 0.0 | 0.03 | 15 | nan | 100.8983 | |
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| 0.0 | 0.04 | 20 | nan | 100.8983 | |
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| 0.0 | 0.05 | 25 | nan | 100.8983 | |
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| 0.0 | 0.06 | 30 | nan | 100.8983 | |
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| 0.0 | 0.07 | 35 | nan | 100.8983 | |
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| 0.0 | 0.08 | 40 | nan | 100.8983 | |
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| 0.0 | 0.09 | 45 | nan | 100.8983 | |
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| 0.0 | 0.1 | 50 | nan | 100.8983 | |
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| 0.0 | 0.12 | 55 | nan | 100.8983 | |
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| 0.0 | 0.13 | 60 | nan | 100.8983 | |
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| 0.0 | 0.14 | 65 | nan | 100.8983 | |
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| 0.0 | 0.15 | 70 | nan | 100.8983 | |
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| 0.0 | 0.16 | 75 | nan | 100.8983 | |
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| 0.0 | 0.17 | 80 | nan | 100.8983 | |
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| 0.0 | 0.18 | 85 | nan | 100.8983 | |
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| 0.0 | 0.19 | 90 | nan | 100.8983 | |
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| 0.0 | 0.2 | 95 | nan | 100.8983 | |
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| 0.0 | 0.21 | 100 | nan | 100.8983 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.13.3 |
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