metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2Musicfreeze
results: []
wav2GPT2Musicfreeze
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0685
- Rouge1: 32.5473
- Rouge2: 9.2754
- Rougel: 23.52
- Rougelsum: 23.5525
- Gen Len: 74.0
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: 5e-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 |
|---|---|---|---|---|---|---|---|---|
| 2.2767 | 1.0 | 1361 | 1.8699 | 31.5702 | 8.644 | 23.435 | 23.5065 | 54.0 |
| 1.9325 | 2.0 | 2722 | 1.6511 | 29.4728 | 8.9646 | 21.6881 | 21.6896 | 87.0 |
| 1.7731 | 3.0 | 4083 | 1.5085 | 29.7153 | 8.7535 | 21.8973 | 21.9541 | 85.0 |
| 1.638 | 4.0 | 5444 | 1.4016 | 32.9074 | 7.9981 | 23.745 | 23.7152 | 59.0 |
| 1.5524 | 5.0 | 6805 | 1.2975 | 32.8051 | 9.6371 | 23.658 | 23.6868 | 74.0 |
| 1.4795 | 6.0 | 8166 | 1.2239 | 27.9746 | 7.7738 | 20.7341 | 20.6989 | 50.0 |
| 1.4163 | 7.0 | 9527 | 1.1602 | 29.1471 | 7.3243 | 22.2569 | 22.253 | 57.0 |
| 1.3457 | 8.0 | 10888 | 1.1083 | 33.2668 | 9.4555 | 23.5864 | 23.6329 | 78.0 |
| 1.3106 | 9.0 | 12249 | 1.0809 | 32.5473 | 9.2754 | 23.52 | 23.5525 | 74.0 |
| 1.2819 | 10.0 | 13610 | 1.0685 | 32.5473 | 9.2754 | 23.52 | 23.5525 | 74.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3