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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: wav2BertMusicfreezeTest
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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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# wav2BertMusicfreezeTest
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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: 6.6761
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- Rouge1: 16.6206
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- Rouge2: 0.9994
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- Rougel: 16.1142
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- Rougelsum: 16.1149
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- Gen Len: 95.3
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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-06
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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: 2
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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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| 7.7819 | 1.0 | 1361 | 7.0617 | 15.5901 | 0.9705 | 15.3625 | 15.389 | 97.98 |
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| 6.8553 | 2.0 | 2722 | 6.6761 | 16.6206 | 0.9994 | 16.1142 | 16.1149 | 95.3 |
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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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