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mbart-large-50-pluska_sum
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1046
- Rouge1: 13.9497
- Rouge2: 4.3548
- Rougel: 12.2975
- Rougelsum: 12.4754
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 144 | 3.4603 | 17.0434 | 5.7835 | 15.1411 | 15.3978 |
| No log | 2.0 | 288 | 3.2464 | 18.0445 | 6.1695 | 15.8888 | 16.172 |
| No log | 3.0 | 432 | 3.3550 | 18.017 | 6.2151 | 15.8346 | 16.1165 |
| 3.76 | 4.0 | 576 | 17.8581 | 0.2995 | 0.0017 | 0.2995 | 0.2997 |
| 3.76 | 5.0 | 720 | 11.2612 | 0.0077 | 0.0011 | 0.0077 | 0.0077 |
| 3.76 | 6.0 | 864 | 9.4077 | 0.4018 | 0.0396 | 0.3911 | 0.3924 |
| 3.76 | 7.0 | 1008 | 4.1815 | 13.3686 | 3.9575 | 11.846 | 11.9922 |
| 6.3287 | 8.0 | 1152 | 4.1046 | 13.9497 | 4.3548 | 12.2975 | 12.4754 |
Framework versions
- Transformers 4.27.0
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2
