metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiNewStricD3E5
results: []
wav2GPT2MusiNewStricD3E5
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9268
- Rouge1: 31.1418
- Rouge2: 9.8004
- Rougel: 23.2508
- Rougelsum: 23.2708
- Gen Len: 64.93
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.6001 | 1.0 | 1361 | 2.2566 | 22.0988 | 6.1329 | 16.1614 | 16.1192 | 87.75 |
| 2.3044 | 2.0 | 2722 | 2.0828 | 26.1764 | 8.6856 | 19.2354 | 19.1702 | 74.46 |
| 2.1894 | 3.0 | 4083 | 1.9912 | 29.7982 | 9.264 | 22.2165 | 22.193 | 67.71 |
| 2.119 | 4.0 | 5444 | 1.9419 | 30.1668 | 9.2004 | 22.5359 | 22.5969 | 63.31 |
| 2.0963 | 5.0 | 6805 | 1.9268 | 31.1418 | 9.8004 | 23.2508 | 23.2708 | 64.93 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3