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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-tinyfinacial |
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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-tinyfinacial |
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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: 0.5217 |
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- Wer: 55.6180 |
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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: 600 |
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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 | 0.4 | 50 | 0.9091 | 64.0449 | |
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| No log | 0.8 | 100 | 0.6941 | 52.2472 | |
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| No log | 1.2 | 150 | 0.5615 | 51.6854 | |
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| No log | 1.6 | 200 | 0.5219 | 47.1910 | |
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| No log | 2.0 | 250 | 0.4938 | 47.7528 | |
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| No log | 2.4 | 300 | 0.4970 | 50.0 | |
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| No log | 2.8 | 350 | 0.4999 | 58.4270 | |
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| No log | 3.2 | 400 | 0.5076 | 46.0674 | |
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| No log | 3.6 | 450 | 0.5157 | 52.2472 | |
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| 0.3104 | 4.0 | 500 | 0.5277 | 56.1798 | |
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| 0.3104 | 4.4 | 550 | 0.5257 | 57.3034 | |
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| 0.3104 | 4.8 | 600 | 0.5217 | 55.6180 | |
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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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