SurpriseNews1
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: 3.3676
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 3.9143 | 1.23 | 500 | 3.6579 |
| 3.2691 | 2.45 | 1000 | 3.3719 |
| 2.9441 | 3.68 | 1500 | 3.2650 |
| 2.7016 | 4.9 | 2000 | 3.2738 |
| 2.1448 | 6.13 | 2500 | 3.2987 |
| 2.4149 | 7.35 | 3000 | 3.3407 |
| 2.1251 | 8.58 | 3500 | 3.3605 |
| 1.9645 | 9.8 | 4000 | 3.3676 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 10
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for tjkmitl/AngerNews_1
Base model
csebuetnlp/mT5_multilingual_XLSum