| --- |
| base_model: facebook/mbart-large-cc25 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: test |
| 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. --> |
|
|
| # test |
|
|
| This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.1215 |
| - Gen Len: 17.3533 |
| - Rouge-1: 39.1861 |
| - Rouge-2: 22.0975 |
| - Rouge-l: 38.4014 |
|
|
| ## 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 | 642 | 3.3523 | 22.5622 | 28.8044 | 14.6813 | 28.1959 | |
| | No log | 2.0 | 1284 | 2.9887 | 22.7422 | 36.6353 | 19.681 | 35.9403 | |
| | No log | 3.0 | 1926 | 2.9367 | 20.0578 | 38.6433 | 21.0943 | 37.9327 | |
| | No log | 4.0 | 2568 | 2.9503 | 18.5644 | 38.6509 | 21.3031 | 37.8452 | |
| | No log | 5.0 | 3210 | 2.9366 | 17.1689 | 38.8973 | 21.9518 | 38.3012 | |
| | No log | 6.0 | 3852 | 2.9782 | 19.2489 | 39.5578 | 22.3324 | 38.9385 | |
| | No log | 7.0 | 4494 | 3.0080 | 19.0422 | 38.1388 | 21.5059 | 37.4054 | |
| | 2.8286 | 8.0 | 5136 | 3.0908 | 18.4667 | 38.7921 | 21.3614 | 38.0183 | |
| | 2.8286 | 9.0 | 5778 | 3.1191 | 18.2978 | 39.3199 | 22.3807 | 38.6943 | |
| | 2.8286 | 10.0 | 6420 | 3.1215 | 17.3533 | 39.1861 | 22.0975 | 38.4014 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.15.2 |
| |
