t5-rebuilder-v2
This model is a fine-tuned version of ai-forever/ruT5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2206
- Bleu: 86.0134
- Chrf: 93.6573
- Gen Len: 13.4007
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Gen Len |
|---|---|---|---|---|---|---|
| 0.4463 | 1.0 | 4321 | 0.3205 | 78.6613 | 90.2004 | 13.2967 |
| 0.24 | 2.0 | 8642 | 0.2379 | 84.2763 | 92.7898 | 13.394 |
| 0.118 | 3.0 | 12963 | 0.2206 | 86.0134 | 93.6573 | 13.4007 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for XvKuoMing/t5-rebuilder-v2
Base model
ai-forever/ruT5-base