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summeraiztion_t5base_en_to_kjven
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7702
- Bleu: 23.612
- Gen Len: 18.1576
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0705 | 1.0 | 2860 | 0.9540 | 21.4263 | 18.131 |
| 0.9753 | 2.0 | 5720 | 0.8850 | 22.278 | 18.1371 |
| 0.9191 | 3.0 | 8580 | 0.8482 | 22.6985 | 18.1433 |
| 0.8845 | 4.0 | 11440 | 0.8207 | 23.0513 | 18.146 |
| 0.8654 | 5.0 | 14300 | 0.8015 | 23.2476 | 18.1499 |
| 0.8443 | 6.0 | 17160 | 0.7891 | 23.4193 | 18.1525 |
| 0.8175 | 7.0 | 20020 | 0.7820 | 23.5084 | 18.1548 |
| 0.8192 | 8.0 | 22880 | 0.7741 | 23.538 | 18.1576 |
| 0.8077 | 9.0 | 25740 | 0.7712 | 23.5967 | 18.1572 |
| 0.8096 | 10.0 | 28600 | 0.7702 | 23.612 | 18.1576 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
