metadata
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: dataset-1700
results: []
dataset-1700
This model is a fine-tuned version of 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