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en_bn_summarize_v7
This model is a fine-tuned version of csebuetnlp/mT5_m2m_crossSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8058
- Rouge-1: 18.1261
- Rouge-2: 6.4386
- Rouge-l: 15.755
- Gen Len: 43.3354
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|---|---|---|---|---|---|---|---|
| 1.8582 | 1.0 | 154 | 1.8089 | 17.2361 | 6.3031 | 15.1651 | 42.4348 |
| 1.6492 | 2.0 | 308 | 1.7993 | 16.9045 | 6.083 | 14.6343 | 41.472 |
| 1.6278 | 3.0 | 462 | 1.8006 | 16.909 | 6.1661 | 14.6043 | 43.4969 |
| 1.5656 | 4.0 | 616 | 1.8016 | 17.1664 | 6.3668 | 15.0702 | 42.1925 |
| 1.5456 | 5.0 | 770 | 1.7983 | 16.8696 | 5.9485 | 14.729 | 42.2298 |
| 1.5146 | 6.0 | 924 | 1.8060 | 17.2806 | 5.98 | 14.7861 | 43.3602 |
| 1.4575 | 7.0 | 1078 | 1.8024 | 17.6126 | 6.1446 | 15.1649 | 43.3665 |
| 1.4988 | 8.0 | 1232 | 1.8046 | 17.619 | 6.1422 | 15.1738 | 43.3913 |
| 1.4637 | 9.0 | 1386 | 1.8059 | 17.6713 | 6.2475 | 15.3152 | 44.0621 |
| 1.4593 | 10.0 | 1540 | 1.8058 | 18.1261 | 6.4386 | 15.755 | 43.3354 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
