metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicwithNewS10
results: []
hubert2BertMusicwithNewS10
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5551
- Rouge1: 26.6611
- Rouge2: 5.852
- Rougel: 20.3973
- Rougelsum: 20.4079
- Gen Len: 56.63
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 |
|---|---|---|---|---|---|---|---|---|
| 5.298 | 1.0 | 959 | 5.1337 | 27.155 | 5.4713 | 20.6012 | 20.5867 | 61.39 |
| 4.6449 | 2.0 | 1918 | 4.8458 | 27.9626 | 6.2825 | 21.4129 | 21.4275 | 55.85 |
| 4.4099 | 3.0 | 2877 | 4.6840 | 26.9532 | 5.7634 | 20.6746 | 20.6841 | 57.92 |
| 4.2794 | 4.0 | 3836 | 4.5906 | 26.7541 | 5.9512 | 20.5233 | 20.5886 | 55.42 |
| 4.1952 | 5.0 | 4795 | 4.5551 | 26.6611 | 5.852 | 20.3973 | 20.4079 | 56.63 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3