metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusicTest
results: []
hubert2BertMusicTest
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8221
- Rouge1: 15.7283
- Rouge2: 1.0309
- Rougel: 15.2928
- Rougelsum: 15.2996
- Gen Len: 98.36
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-06
- 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 |
|---|---|---|---|---|---|---|---|---|
| 7.9557 | 1.0 | 1361 | 6.9607 | 17.7604 | 1.459 | 16.0128 | 16.0274 | 97.63 |
| 6.5119 | 2.0 | 2722 | 6.2240 | 15.1584 | 0.9606 | 14.9311 | 14.9471 | 100.0 |
| 6.103 | 3.0 | 4083 | 5.9626 | 15.066 | 0.9708 | 14.911 | 14.9342 | 100.0 |
| 5.9857 | 4.0 | 5444 | 5.8541 | 15.3603 | 0.9738 | 15.0075 | 15.0097 | 98.69 |
| 5.9223 | 5.0 | 6805 | 5.8221 | 15.7283 | 1.0309 | 15.2928 | 15.2996 | 98.36 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3