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---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3100
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2GPT2MusiSD3100
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4621
- Rouge1: 49.1683
- Rouge2: 19.4082
- Rougel: 33.9969
- Rougelsum: 33.9813
- Gen Len: 40.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4584 | 1.0 | 983 | 1.8478 | 38.1727 | 13.6798 | 29.6916 | 29.6486 | 34.0 |
| 2.002 | 2.0 | 1966 | 1.7151 | 38.1157 | 11.406 | 30.5444 | 30.4542 | 29.0 |
| 1.8944 | 3.0 | 2949 | 1.6377 | 41.6078 | 14.6425 | 29.1709 | 29.1277 | 40.0 |
| 1.809 | 4.0 | 3932 | 1.5824 | 38.1157 | 11.4094 | 30.2316 | 30.174 | 29.0 |
| 1.7763 | 5.0 | 4915 | 1.5419 | 38.1157 | 12.8897 | 30.0962 | 30.034 | 29.0 |
| 1.7535 | 6.0 | 5898 | 1.5088 | 46.8579 | 18.9781 | 33.0079 | 33.0205 | 41.0 |
| 1.7409 | 7.0 | 6881 | 1.4867 | 49.1683 | 19.4082 | 33.9969 | 33.9813 | 40.0 |
| 1.7442 | 8.0 | 7864 | 1.4712 | 43.8511 | 18.6704 | 31.2102 | 31.2126 | 47.0 |
| 1.7462 | 9.0 | 8847 | 1.4651 | 43.8511 | 18.6704 | 31.2102 | 31.2126 | 47.0 |
| 1.753 | 10.0 | 9830 | 1.4621 | 49.1683 | 19.4082 | 33.9969 | 33.9813 | 40.0 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
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