metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiSD3200
results: []
wav2GPT2MusiSD3200
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9236
- Rouge1: 28.7212
- Rouge2: 7.4616
- Rougel: 21.8892
- Rougelsum: 21.8832
- Gen Len: 46.0
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 |
|---|---|---|---|---|---|---|---|---|
| 1.2945 | 1.0 | 1361 | 1.1031 | 27.9697 | 6.7041 | 21.6712 | 21.6064 | 55.0 |
| 1.212 | 2.0 | 2722 | 1.0544 | 27.9697 | 6.7041 | 21.6712 | 21.6064 | 55.0 |
| 1.1771 | 3.0 | 4083 | 1.0171 | 27.7311 | 6.574 | 21.4759 | 21.4402 | 57.0 |
| 1.124 | 4.0 | 5444 | 0.9856 | 30.3958 | 7.6795 | 22.3852 | 22.4201 | 62.0 |
| 1.1177 | 5.0 | 6805 | 0.9591 | 30.2957 | 8.1085 | 22.6405 | 22.5926 | 50.0 |
| 1.1168 | 6.0 | 8166 | 0.9419 | 27.9697 | 6.7041 | 21.6712 | 21.6064 | 55.0 |
| 1.1277 | 7.0 | 9527 | 0.9304 | 27.9697 | 6.7041 | 21.6712 | 21.6064 | 55.0 |
| 1.1256 | 8.0 | 10888 | 0.9227 | 29.7298 | 7.2318 | 22.3598 | 22.3739 | 56.0 |
| 1.1617 | 9.0 | 12249 | 0.9222 | 28.7212 | 7.4616 | 21.8892 | 21.8832 | 46.0 |
| 1.2002 | 10.0 | 13610 | 0.9236 | 28.7212 | 7.4616 | 21.8892 | 21.8832 | 46.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3