--- license: artistic-2.0 base_model: KETI-AIR-Downstream/long-ke-t5-base-summarization tags: - summarization - generated_from_trainer model-index: - name: long_ke_t5_finetuned_wiki_lingua results: [] --- # long_ke_t5_finetuned_wiki_lingua This model is a fine-tuned version of [KETI-AIR-Downstream/long-ke-t5-base-summarization](https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-summarization) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.2019 ## 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: 5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.2 - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 3.8606 | 1.0 | 4193 | 3.3498 | | 3.4635 | 2.0 | 8386 | 3.2485 | | 3.4019 | 3.0 | 12579 | 3.2111 | | 3.3802 | 4.0 | 16772 | 3.2019 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0