|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
base_model: facebook/bart-large |
|
model-index: |
|
- name: bart-finetuned-lyrlen-512 |
|
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. --> |
|
|
|
# bart-finetuned-lyrlen-512 |
|
|
|
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.7206 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 2.221 | 0.04 | 500 | 1.9667 | |
|
| 2.0336 | 0.08 | 1000 | 1.8762 | |
|
| 1.9563 | 0.12 | 1500 | 1.8565 | |
|
| 1.9555 | 0.17 | 2000 | 1.8392 | |
|
| 1.9072 | 0.21 | 2500 | 1.8214 | |
|
| 1.8796 | 0.25 | 3000 | 1.8246 | |
|
| 1.8955 | 0.29 | 3500 | 1.8050 | |
|
| 1.8254 | 0.33 | 4000 | 1.8069 | |
|
| 1.8518 | 0.38 | 4500 | 1.7873 | |
|
| 1.8471 | 0.42 | 5000 | 1.7880 | |
|
| 1.8536 | 0.46 | 5500 | 1.7736 | |
|
| 1.8075 | 0.5 | 6000 | 1.7772 | |
|
| 1.8143 | 0.54 | 6500 | 1.7724 | |
|
| 1.8383 | 0.58 | 7000 | 1.7670 | |
|
| 1.746 | 0.62 | 7500 | 1.7741 | |
|
| 1.7844 | 0.67 | 8000 | 1.7608 | |
|
| 1.7761 | 0.71 | 8500 | 1.7680 | |
|
| 1.7367 | 0.75 | 9000 | 1.7555 | |
|
| 1.7656 | 0.79 | 9500 | 1.7508 | |
|
| 1.7467 | 0.83 | 10000 | 1.7558 | |
|
| 1.7744 | 0.88 | 10500 | 1.7449 | |
|
| 1.7513 | 0.92 | 11000 | 1.7462 | |
|
| 1.7482 | 0.96 | 11500 | 1.7576 | |
|
| 1.724 | 1.0 | 12000 | 1.7525 | |
|
| 1.7043 | 1.04 | 12500 | 1.7746 | |
|
| 1.6869 | 1.08 | 13000 | 1.7531 | |
|
| 1.7405 | 1.12 | 13500 | 1.7473 | |
|
| 1.7343 | 1.17 | 14000 | 1.7396 | |
|
| 1.649 | 1.21 | 14500 | 1.7384 | |
|
| 1.7208 | 1.25 | 15000 | 1.7368 | |
|
| 1.6931 | 1.29 | 15500 | 1.7404 | |
|
| 1.5941 | 1.33 | 16000 | 1.8223 | |
|
| 1.6651 | 1.38 | 16500 | 1.7287 | |
|
| 1.6649 | 1.42 | 17000 | 1.7413 | |
|
| 1.7108 | 1.46 | 17500 | 1.7304 | |
|
| 1.713 | 1.5 | 18000 | 1.7263 | |
|
| 1.6866 | 1.54 | 18500 | 1.7139 | |
|
| 1.6461 | 1.58 | 19000 | 1.7221 | |
|
| 1.6886 | 1.62 | 19500 | 1.7159 | |
|
| 1.6511 | 1.67 | 20000 | 1.7302 | |
|
| 1.6626 | 1.71 | 20500 | 1.7182 | |
|
| 1.7052 | 1.75 | 21000 | 1.7163 | |
|
| 1.6831 | 1.79 | 21500 | 1.7168 | |
|
| 1.6057 | 1.83 | 22000 | 1.7151 | |
|
| 1.6761 | 1.88 | 22500 | 1.7117 | |
|
| 1.6668 | 1.92 | 23000 | 1.7164 | |
|
| 1.612 | 1.96 | 23500 | 1.7122 | |
|
| 1.6617 | 2.0 | 24000 | 1.7131 | |
|
| 1.641 | 2.04 | 24500 | 1.7277 | |
|
| 1.6595 | 2.08 | 25000 | 1.7289 | |
|
| 1.6723 | 2.12 | 25500 | 1.7192 | |
|
| 1.6347 | 2.17 | 26000 | 1.7259 | |
|
| 1.6684 | 2.21 | 26500 | 1.7211 | |
|
| 1.6098 | 2.25 | 27000 | 1.7316 | |
|
| 1.6025 | 2.29 | 27500 | 1.7213 | |
|
| 1.5567 | 2.33 | 28000 | 1.7238 | |
|
| 1.6564 | 2.38 | 28500 | 1.7185 | |
|
| 1.7078 | 2.42 | 29000 | 1.7393 | |
|
| 1.6308 | 2.46 | 29500 | 1.7234 | |
|
| 1.6402 | 2.5 | 30000 | 1.7319 | |
|
| 1.6333 | 2.54 | 30500 | 1.7197 | |
|
| 1.6249 | 2.58 | 31000 | 1.7298 | |
|
| 1.6366 | 2.62 | 31500 | 1.7235 | |
|
| 1.6245 | 2.67 | 32000 | 1.7289 | |
|
| 1.6044 | 2.71 | 32500 | 1.7160 | |
|
| 1.6095 | 2.75 | 33000 | 1.7172 | |
|
| 1.6621 | 2.79 | 33500 | 1.7210 | |
|
| 1.6883 | 2.83 | 34000 | 1.7169 | |
|
| 1.6449 | 2.88 | 34500 | 1.7155 | |
|
| 1.6439 | 2.92 | 35000 | 1.7201 | |
|
| 1.6358 | 2.96 | 35500 | 1.7188 | |
|
| 1.6033 | 3.0 | 36000 | 1.7206 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.0.dev20230621+cu117 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
