long_ke_t5_finetuned_wiki_lingua
This model is a fine-tuned version of KETI-AIR-Downstream/long-ke-t5-base-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2019
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_ratio: 0.2
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8606 | 1.0 | 4193 | 3.3498 |
| 3.4635 | 2.0 | 8386 | 3.2485 |
| 3.4019 | 3.0 | 12579 | 3.2111 |
| 3.3802 | 4.0 | 16772 | 3.2019 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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