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--- |
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language: |
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- hi |
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license: apache-2.0 |
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base_model: openai/whisper-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper_e8eae673-8dea-4ce6-b9ac-7541bbcff1c8 |
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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_e8eae673-8dea-4ce6-b9ac-7541bbcff1c8 |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0833 |
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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: 0.001 |
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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: 20 |
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- training_steps: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3764 | 10.0 | 10 | 2.3759 | |
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| 0.7583 | 20.0 | 20 | 1.4695 | |
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| 8.3335 | 30.0 | 30 | 6.5259 | |
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| 6.1162 | 40.0 | 40 | 3.0373 | |
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| 0.468 | 50.0 | 50 | 2.0833 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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