|
--- |
|
license: mit |
|
base_model: facebook/mbart-large-50 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: dataset-1700 |
|
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. --> |
|
|
|
# dataset-1700 |
|
|
|
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2549 |
|
- Gen Len: 16.3667 |
|
- Rouge-1: 36.0238 |
|
- Rouge-2: 18.9307 |
|
- Rouge-l: 35.0228 |
|
|
|
## 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 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: polynomial |
|
- lr_scheduler_warmup_steps: 1000 |
|
- num_epochs: 50 |
|
- label_smoothing_factor: 0.1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:| |
|
| No log | 1.0 | 214 | 3.8357 | 37.1467 | 26.95 | 11.9204 | 25.5728 | |
|
| No log | 2.0 | 428 | 3.4294 | 32.64 | 28.5045 | 14.5187 | 26.6976 | |
|
| No log | 3.0 | 642 | 3.3246 | 17.4933 | 27.9551 | 14.0601 | 26.9049 | |
|
| No log | 4.0 | 856 | 3.2771 | 15.4 | 28.2521 | 13.6616 | 27.9303 | |
|
| No log | 5.0 | 1070 | 3.1305 | 20.2333 | 34.3539 | 18.0221 | 33.5067 | |
|
| No log | 6.0 | 1284 | 3.0782 | 16.9267 | 32.743 | 16.171 | 32.2637 | |
|
| No log | 7.0 | 1498 | 3.0556 | 17.1 | 33.9666 | 17.3623 | 33.5188 | |
|
| No log | 8.0 | 1712 | 3.0948 | 16.1067 | 35.7842 | 19.0957 | 35.1125 | |
|
| No log | 9.0 | 1926 | 3.1146 | 16.3133 | 33.9124 | 18.8415 | 33.2149 | |
|
| No log | 10.0 | 2140 | 3.1464 | 15.8467 | 35.1778 | 18.874 | 34.3936 | |
|
| No log | 11.0 | 2354 | 3.1760 | 16.4467 | 35.6329 | 19.0674 | 34.9167 | |
|
| No log | 12.0 | 2568 | 3.2549 | 16.3667 | 36.0238 | 18.9307 | 35.0228 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.15.2 |
|
|
