metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-lyrlen-256-tokens
results: []
bart-finetuned-lyrlen-256-tokens
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6246
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9847 | 0.17 | 500 | 2.7417 |
| 2.7603 | 0.33 | 1000 | 2.6936 |
| 2.6777 | 0.5 | 1500 | 2.7032 |
| 2.6679 | 0.67 | 2000 | 2.6790 |
| 2.631 | 0.83 | 2500 | 2.6584 |
| 2.612 | 1.0 | 3000 | 2.6528 |
| 2.5602 | 1.17 | 3500 | 2.7752 |
| 2.5321 | 1.33 | 4000 | 2.6442 |
| 2.523 | 1.5 | 4500 | 2.6168 |
| 2.5031 | 1.67 | 5000 | 2.6356 |
| 2.4454 | 1.83 | 5500 | 2.6987 |
| 2.5141 | 2.0 | 6000 | 2.6277 |
| 2.434 | 2.17 | 6500 | 2.6612 |
| 2.4381 | 2.33 | 7000 | 2.6339 |
| 2.4182 | 2.5 | 7500 | 2.6291 |
| 2.3564 | 2.67 | 8000 | 2.6309 |
| 2.4002 | 2.83 | 8500 | 2.5957 |
| 2.3692 | 3.0 | 9000 | 2.6150 |
| 2.4242 | 3.17 | 9500 | 2.5908 |
| 2.3854 | 3.33 | 10000 | 2.6053 |
| 2.3493 | 3.5 | 10500 | 2.6875 |
| 2.3231 | 3.67 | 11000 | 2.6197 |
| 2.3609 | 3.83 | 11500 | 2.6016 |
| 2.3651 | 4.0 | 12000 | 2.6246 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2