metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicTestL5e7
results: []
hubert2BertMusicTestL5e7
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2639
- Rouge1: 28.296
- Rouge2: 7.1646
- Rougel: 20.2478
- Rougelsum: 20.191
- Gen Len: 58.92
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: 3e-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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.7701 | 1.0 | 1361 | 3.6345 | 29.4772 | 6.5481 | 21.1446 | 21.1031 | 51.04 |
| 3.3104 | 2.0 | 2722 | 2.9389 | 24.7952 | 6.9239 | 19.4001 | 19.4318 | 31.01 |
| 2.9088 | 3.0 | 4083 | 2.6221 | 29.6422 | 7.2219 | 21.0592 | 21.0778 | 57.25 |
| 2.7274 | 4.0 | 5444 | 2.4599 | 28.0386 | 8.311 | 20.629 | 20.6316 | 50.06 |
| 2.6417 | 5.0 | 6805 | 2.3503 | 28.7788 | 8.8058 | 21.2309 | 21.2204 | 57.54 |
| 2.5002 | 6.0 | 8166 | 2.2905 | 31.5292 | 8.3235 | 22.2364 | 22.2584 | 65.09 |
| 2.4481 | 7.0 | 9527 | 2.2639 | 28.296 | 7.1646 | 20.2478 | 20.191 | 58.92 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3