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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: wav2GPT2MusiNewStricD3E5 |
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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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# wav2GPT2MusiNewStricD3E5 |
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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: 1.9268 |
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- Rouge1: 31.1418 |
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- Rouge2: 9.8004 |
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- Rougel: 23.2508 |
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- Rougelsum: 23.2708 |
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- Gen Len: 64.93 |
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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: 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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| 2.6001 | 1.0 | 1361 | 2.2566 | 22.0988 | 6.1329 | 16.1614 | 16.1192 | 87.75 | |
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| 2.3044 | 2.0 | 2722 | 2.0828 | 26.1764 | 8.6856 | 19.2354 | 19.1702 | 74.46 | |
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| 2.1894 | 3.0 | 4083 | 1.9912 | 29.7982 | 9.264 | 22.2165 | 22.193 | 67.71 | |
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| 2.119 | 4.0 | 5444 | 1.9419 | 30.1668 | 9.2004 | 22.5359 | 22.5969 | 63.31 | |
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| 2.0963 | 5.0 | 6805 | 1.9268 | 31.1418 | 9.8004 | 23.2508 | 23.2708 | 64.93 | |
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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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