|
--- |
|
license: apache-2.0 |
|
base_model: facebook/bart-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- learn3r/summ_screen_fd_bp |
|
model-index: |
|
- name: summ_screen_fd_blueprint_epoch_10 |
|
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. --> |
|
|
|
# summ_screen_fd_blueprint_epoch_10 |
|
|
|
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/summ_screen_fd_bp dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0208 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 32 |
|
- total_train_batch_size: 256 |
|
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.382 | 0.97 | 14 | 2.3120 | |
|
| 2.5354 | 1.95 | 28 | 2.1625 | |
|
| 2.2504 | 2.99 | 43 | 2.1031 | |
|
| 2.1809 | 3.97 | 57 | 2.0733 | |
|
| 2.0889 | 4.94 | 71 | 2.0513 | |
|
| 2.0586 | 5.98 | 86 | 2.0359 | |
|
| 2.0117 | 6.96 | 100 | 2.0325 | |
|
| 1.9849 | 8.0 | 115 | 2.0254 | |
|
| 1.9803 | 8.97 | 129 | 2.0218 | |
|
| 1.9584 | 9.74 | 140 | 2.0208 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|