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focus_sum
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0575
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9644 | 3.75 | 500 | 0.6880 |
| 0.4682 | 7.52 | 1000 | 0.4350 |
| 0.4672 | 11.28 | 1500 | 0.2599 |
| 0.3439 | 15.04 | 2000 | 0.1568 |
| 0.2753 | 18.79 | 2500 | 0.1064 |
| 0.1885 | 22.55 | 3000 | 0.0737 |
| 0.2185 | 26.31 | 3500 | 0.0575 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.12.1
