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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: wav2GPT2Musicfreeze |
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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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# wav2GPT2Musicfreeze |
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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: 1.0685 |
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- Rouge1: 32.5473 |
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- Rouge2: 9.2754 |
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- Rougel: 23.52 |
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- Rougelsum: 23.5525 |
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- Gen Len: 74.0 |
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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: 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: 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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| 2.2767 | 1.0 | 1361 | 1.8699 | 31.5702 | 8.644 | 23.435 | 23.5065 | 54.0 | |
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| 1.9325 | 2.0 | 2722 | 1.6511 | 29.4728 | 8.9646 | 21.6881 | 21.6896 | 87.0 | |
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| 1.7731 | 3.0 | 4083 | 1.5085 | 29.7153 | 8.7535 | 21.8973 | 21.9541 | 85.0 | |
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| 1.638 | 4.0 | 5444 | 1.4016 | 32.9074 | 7.9981 | 23.745 | 23.7152 | 59.0 | |
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| 1.5524 | 5.0 | 6805 | 1.2975 | 32.8051 | 9.6371 | 23.658 | 23.6868 | 74.0 | |
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| 1.4795 | 6.0 | 8166 | 1.2239 | 27.9746 | 7.7738 | 20.7341 | 20.6989 | 50.0 | |
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| 1.4163 | 7.0 | 9527 | 1.1602 | 29.1471 | 7.3243 | 22.2569 | 22.253 | 57.0 | |
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| 1.3457 | 8.0 | 10888 | 1.1083 | 33.2668 | 9.4555 | 23.5864 | 23.6329 | 78.0 | |
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| 1.3106 | 9.0 | 12249 | 1.0809 | 32.5473 | 9.2754 | 23.52 | 23.5525 | 74.0 | |
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| 1.2819 | 10.0 | 13610 | 1.0685 | 32.5473 | 9.2754 | 23.52 | 23.5525 | 74.0 | |
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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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