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--- |
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base_model: openai/whisper-tiny |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: whisper-tinyfinacialKI500 |
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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-tinyfinacialKI500 |
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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: 0.5350 |
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- Wer: 50.5618 |
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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: 1.35e-05 |
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- train_batch_size: 8 |
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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: 100 |
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- training_steps: 400 |
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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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| No log | 0.7937 | 50 | 0.8964 | 62.9213 | |
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| No log | 1.5873 | 100 | 0.6468 | 56.7416 | |
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| No log | 2.3810 | 150 | 0.5310 | 48.3146 | |
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| No log | 3.1746 | 200 | 0.4966 | 50.5618 | |
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| No log | 3.9683 | 250 | 0.5187 | 47.1910 | |
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| No log | 4.7619 | 300 | 0.5419 | 48.8764 | |
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| No log | 5.5556 | 350 | 0.5410 | 55.6180 | |
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| No log | 6.3492 | 400 | 0.5350 | 50.5618 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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