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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny.en |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: whispherMusicTiny |
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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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# whispherMusicTiny |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5623 |
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- Rouge1: 26.7441 |
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- Rouge2: 6.3706 |
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- Rougel: 23.6169 |
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- Rougelsum: 23.5887 |
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- Gen Len: 65.71 |
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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: 4 |
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- eval_batch_size: 4 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 3.187 | 1.0 | 959 | 2.8591 | 22.3571 | 4.0074 | 20.7932 | 20.8063 | 67.11 | |
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| 2.4008 | 2.0 | 1918 | 2.3569 | 25.1707 | 4.7622 | 22.9043 | 22.934 | 59.9 | |
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| 2.059 | 3.0 | 2877 | 1.9763 | 23.6382 | 4.0133 | 21.9178 | 21.9638 | 57.94 | |
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| 1.7741 | 4.0 | 3836 | 1.6896 | 25.0574 | 5.335 | 22.7412 | 22.7141 | 64.13 | |
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| 1.542 | 5.0 | 4795 | 1.5623 | 26.7441 | 6.3706 | 23.6169 | 23.5887 | 65.71 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.2 |
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- Tokenizers 0.13.3 |
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