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--- |
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base_model: '' |
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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: wav2GPT2MusiSD3100 |
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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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# wav2GPT2MusiSD3100 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4092 |
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- Rouge1: 15.6142 |
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- Rouge2: 2.2075 |
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- Rougel: 14.8541 |
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- Rougelsum: 14.8888 |
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- Gen Len: 60.0 |
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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: 1e-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: 10 |
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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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| 1.9569 | 1.0 | 959 | 1.7932 | 19.6635 | 2.3177 | 17.8258 | 17.8164 | 57.0 | |
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| 1.7035 | 2.0 | 1918 | 1.6795 | 18.4799 | 2.3155 | 16.3977 | 16.4296 | 63.0 | |
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| 1.6267 | 3.0 | 2877 | 1.6036 | 21.2993 | 2.9167 | 19.1184 | 19.1044 | 61.0 | |
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| 1.5669 | 4.0 | 3836 | 1.5429 | 16.6273 | 2.141 | 15.4121 | 15.4484 | 60.0 | |
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| 1.5373 | 5.0 | 4795 | 1.4901 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 | |
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| 1.5333 | 6.0 | 5754 | 1.4583 | 14.3844 | 2.1564 | 13.524 | 13.5429 | 58.0 | |
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| 1.5303 | 7.0 | 6713 | 1.4323 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 | |
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| 1.5337 | 8.0 | 7672 | 1.4156 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 | |
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| 1.5518 | 9.0 | 8631 | 1.4099 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 | |
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| 1.5764 | 10.0 | 9590 | 1.4092 | 15.6142 | 2.2075 | 14.8541 | 14.8888 | 60.0 | |
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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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