polish_transliterator_test2
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2747
- Rouge1: 10.0
- Rouge2: 0.0
- Rougel: 10.0
- Rougelsum: 10.0
- Gen Len: 5.14
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: 3e-06
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.98 | 29 | 2.4489 | 6.0 | 0.0 | 6.0 | 6.0 | 4.7 |
| No log | 2.0 | 59 | 2.3646 | 8.0 | 0.0 | 8.0 | 8.0 | 5.3 |
| No log | 2.98 | 88 | 2.3039 | 8.0 | 0.0 | 8.0 | 8.0 | 5.2 |
| No log | 4.0 | 118 | 2.2793 | 10.0 | 0.0 | 10.0 | 10.0 | 5.14 |
| No log | 4.92 | 145 | 2.2747 | 10.0 | 0.0 | 10.0 | 10.0 | 5.14 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3