qqrownt5
This model is a fine-tuned version of Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1853
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.228 | 1.0 | 9500 | 0.1971 |
| 0.2179 | 2.0 | 19000 | 0.1894 |
| 0.2125 | 3.0 | 28500 | 0.1861 |
| 0.2134 | 4.0 | 38000 | 0.1853 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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