metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic100
results: []
hubert2BertMusic100
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5608
- Rouge1: 26.8788
- Rouge2: 7.7875
- Rougel: 19.0867
- Rougelsum: 19.0059
- Gen Len: 52.68
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 |
|---|---|---|---|---|---|---|---|---|
| 3.184 | 1.0 | 1361 | 2.6115 | 25.0008 | 7.7596 | 19.0824 | 19.0223 | 46.0 |
| 2.5657 | 2.0 | 2722 | 2.2430 | 25.4109 | 4.9388 | 18.851 | 18.8614 | 52.19 |
| 2.3496 | 3.0 | 4083 | 2.0430 | 26.517 | 7.6506 | 18.9172 | 18.8696 | 56.45 |
| 2.2011 | 4.0 | 5444 | 1.9079 | 27.1096 | 7.7201 | 19.2615 | 19.2315 | 52.62 |
| 2.1264 | 5.0 | 6805 | 1.8010 | 25.8208 | 6.5427 | 18.2762 | 18.2818 | 56.84 |
| 1.9913 | 6.0 | 8166 | 1.7185 | 32.4549 | 8.4658 | 22.9767 | 22.9609 | 67.77 |
| 1.9133 | 7.0 | 9527 | 1.6602 | 26.8271 | 7.4957 | 19.093 | 19.0392 | 50.07 |
| 1.8605 | 8.0 | 10888 | 1.6075 | 29.8012 | 8.5321 | 21.3029 | 21.2936 | 63.94 |
| 1.8227 | 9.0 | 12249 | 1.5714 | 27.1868 | 7.8113 | 19.1224 | 19.0768 | 57.59 |
| 1.7965 | 10.0 | 13610 | 1.5608 | 26.8788 | 7.7875 | 19.0867 | 19.0059 | 52.68 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3