File size: 2,411 Bytes
93b416c 1b21991 93b416c 1b21991 93b416c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hubert2BertMusic200
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hubert2BertMusic200
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5337
- Rouge1: 27.8124
- Rouge2: 8.0272
- Rougel: 20.1961
- Rougelsum: 20.0449
- Gen Len: 54.14
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.1541 | 1.0 | 1361 | 2.5808 | 26.8953 | 7.7532 | 20.2501 | 20.2057 | 48.0 |
| 2.5425 | 2.0 | 2722 | 2.2246 | 22.0654 | 4.9919 | 18.3845 | 18.4076 | 25.9 |
| 2.3282 | 3.0 | 4083 | 2.0100 | 31.8203 | 9.3519 | 22.4246 | 22.4174 | 78.89 |
| 2.1766 | 4.0 | 5444 | 1.8790 | 27.1112 | 7.992 | 19.3218 | 19.1906 | 55.62 |
| 2.1055 | 5.0 | 6805 | 1.7752 | 25.9685 | 7.9938 | 19.3583 | 19.2774 | 54.62 |
| 1.9703 | 6.0 | 8166 | 1.6945 | 32.9795 | 9.0072 | 23.469 | 23.4519 | 72.38 |
| 1.8918 | 7.0 | 9527 | 1.6316 | 26.8437 | 7.4896 | 19.49 | 19.4321 | 56.75 |
| 1.8299 | 8.0 | 10888 | 1.5808 | 26.9448 | 7.5496 | 19.4471 | 19.3467 | 55.21 |
| 1.7917 | 9.0 | 12249 | 1.5466 | 27.0708 | 7.759 | 19.7133 | 19.6295 | 56.2 |
| 1.767 | 10.0 | 13610 | 1.5337 | 27.8124 | 8.0272 | 20.1961 | 20.0449 | 54.14 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
|