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results
This model is a fine-tuned version of paust/pko-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1500
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: 0.0007
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.86 | 4 | 1.6254 |
| No log | 1.95 | 9 | 1.2538 |
| No log | 2.81 | 13 | 0.6273 |
| No log | 3.89 | 18 | 0.2634 |
| No log | 4.97 | 23 | 0.1473 |
| No log | 5.84 | 27 | 0.1497 |
| No log | 6.92 | 32 | 0.1500 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1