GeneralNews_9_loadbest
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: 2.7052
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4665 | 1.0 | 500 | 3.0865 |
| 3.2219 | 2.0 | 1000 | 2.8680 |
| 3.0254 | 3.0 | 1500 | 2.7771 |
| 2.8798 | 4.0 | 2000 | 2.7572 |
| 2.7943 | 5.0 | 2500 | 2.7339 |
| 2.6988 | 6.0 | 3000 | 2.7126 |
| 2.4587 | 7.0 | 3500 | 2.7086 |
| 2.4769 | 8.0 | 4000 | 2.7076 |
| 2.5388 | 9.0 | 4500 | 2.7075 |
| 2.4411 | 10.0 | 5000 | 2.7052 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
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Base model
csebuetnlp/mT5_multilingual_XLSum