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README.md
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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: wav2GPT2MusiSD3200
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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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# wav2GPT2MusiSD3200
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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: 1.4167
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- Rouge1: 46.3177
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- Rouge2: 18.1696
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- Rougel: 34.6558
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- Rougelsum: 34.636
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- Gen Len: 40.0
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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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| 2.8481 | 1.0 | 983 | 2.2495 | 34.5797 | 8.9817 | 28.3195 | 28.32 | 28.0 |
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| 2.4137 | 2.0 | 1966 | 2.0846 | 36.3928 | 12.5876 | 27.98 | 27.9842 | 21.0 |
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| 2.2635 | 3.0 | 2949 | 1.9332 | 35.1245 | 9.6761 | 29.1228 | 29.155 | 27.0 |
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| 2.1176 | 4.0 | 3932 | 1.8091 | 34.5774 | 10.3811 | 27.872 | 27.8823 | 21.0 |
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| 2.0186 | 5.0 | 4915 | 1.6961 | 31.3649 | 9.5216 | 26.2574 | 26.254 | 38.0 |
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| 1.9291 | 6.0 | 5898 | 1.6045 | 39.5512 | 13.1811 | 30.9223 | 30.9325 | 40.0 |
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| 1.8468 | 7.0 | 6881 | 1.5318 | 41.6641 | 14.5078 | 31.932 | 31.9302 | 39.0 |
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| 1.7885 | 8.0 | 7864 | 1.4718 | 46.3177 | 18.1696 | 34.6558 | 34.636 | 40.0 |
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| 1.7379 | 9.0 | 8847 | 1.4323 | 45.3182 | 17.9076 | 33.0305 | 33.0228 | 47.0 |
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| 1.6984 | 10.0 | 9830 | 1.4167 | 46.3177 | 18.1696 | 34.6558 | 34.636 | 40.0 |
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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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