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: 2.7855
- Rouge1: 20.7363
- Rouge2: 3.2333
- Rougel: 16.3746
- Rougelsum: 16.4147
- Gen Len: 59.07
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 |
|---|---|---|---|---|---|---|---|---|
| 3.3305 | 1.0 | 959 | 3.3111 | 22.9356 | 3.2508 | 17.366 | 17.4075 | 57.61 |
| 2.9292 | 2.0 | 1918 | 3.1469 | 20.9236 | 3.1184 | 16.3203 | 16.3454 | 55.43 |
| 2.7957 | 3.0 | 2877 | 3.0347 | 21.339 | 3.6129 | 16.8758 | 16.8954 | 60.23 |
| 2.7126 | 4.0 | 3836 | 2.9680 | 21.4247 | 3.6279 | 16.5494 | 16.5481 | 59.34 |
| 2.6505 | 5.0 | 4795 | 2.9066 | 21.3352 | 3.0876 | 16.723 | 16.7403 | 58.91 |
| 2.6375 | 6.0 | 5754 | 2.8660 | 21.6979 | 3.2778 | 17.0033 | 17.0018 | 59.94 |
| 2.5865 | 7.0 | 6713 | 2.8287 | 20.2156 | 3.2757 | 16.0352 | 16.0346 | 56.15 |
| 2.5824 | 8.0 | 7672 | 2.8060 | 22.5532 | 3.5368 | 17.4646 | 17.4785 | 60.47 |
| 2.5851 | 9.0 | 8631 | 2.7895 | 20.7575 | 3.0594 | 16.2891 | 16.3196 | 59.13 |
| 2.6084 | 10.0 | 9590 | 2.7855 | 20.7363 | 3.2333 | 16.3746 | 16.4147 | 59.07 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3