|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: lyrics-generator-v2 |
|
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. --> |
|
|
|
# lyrics-generator-v2 |
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.1114 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.4325 | 0.36 | 200 | 2.3267 | |
|
| 2.4121 | 0.71 | 400 | 2.2693 | |
|
| 2.3582 | 1.07 | 600 | 2.2401 | |
|
| 2.2903 | 1.42 | 800 | 2.2182 | |
|
| 2.2738 | 1.78 | 1000 | 2.2046 | |
|
| 2.2322 | 2.14 | 1200 | 2.1922 | |
|
| 2.1933 | 2.49 | 1400 | 2.1832 | |
|
| 2.1944 | 2.85 | 1600 | 2.1736 | |
|
| 2.1632 | 3.2 | 1800 | 2.1648 | |
|
| 2.1366 | 3.56 | 2000 | 2.1554 | |
|
| 2.1492 | 3.91 | 2200 | 2.1491 | |
|
| 2.1108 | 4.27 | 2400 | 2.1472 | |
|
| 2.0882 | 4.63 | 2600 | 2.1422 | |
|
| 2.0971 | 4.98 | 2800 | 2.1343 | |
|
| 2.0829 | 5.34 | 3000 | 2.1318 | |
|
| 2.042 | 5.69 | 3200 | 2.1280 | |
|
| 2.0375 | 6.05 | 3400 | 2.1261 | |
|
| 2.0146 | 6.41 | 3600 | 2.1245 | |
|
| 2.0551 | 6.76 | 3800 | 2.1217 | |
|
| 1.992 | 7.12 | 4000 | 2.1182 | |
|
| 1.9994 | 7.47 | 4200 | 2.1170 | |
|
| 2.0189 | 7.83 | 4400 | 2.1156 | |
|
| 1.9795 | 8.19 | 4600 | 2.1133 | |
|
| 2.0101 | 8.54 | 4800 | 2.1143 | |
|
| 1.9864 | 8.9 | 5000 | 2.1111 | |
|
| 1.9602 | 9.25 | 5200 | 2.1120 | |
|
| 1.9899 | 9.61 | 5400 | 2.1117 | |
|
| 1.9928 | 9.96 | 5600 | 2.1114 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
