--- base_model: mrm8488/t5-base-finetuned-common_gen tags: - generated_from_trainer metrics: - bleu model-index: - name: T5-based-keywords-to-sentence-Epoch-10 results: [] --- # T5-based-keywords-to-sentence-Epoch-10 This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://huggingface.co/mrm8488/t5-base-finetuned-common_gen) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.9915 - Bleu: 10.3156 - Gen Len: 13.7832 ## 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: 2e-05 - train_batch_size: 128 - eval_batch_size: 128 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 1.83 | 1.0 | 527 | 1.9997 | 10.4298 | 13.7036 | | 1.816 | 2.0 | 1054 | 1.9972 | 10.5072 | 13.6857 | | 1.8084 | 3.0 | 1581 | 2.0045 | 10.4912 | 13.6837 | | 1.7929 | 4.0 | 2108 | 2.0073 | 10.3682 | 13.662 | | 1.7902 | 5.0 | 2635 | 2.0089 | 10.3812 | 13.7352 | | 1.7793 | 6.0 | 3162 | 2.0100 | 10.4598 | 13.7103 | | 1.7754 | 7.0 | 3689 | 2.0091 | 10.4524 | 13.6598 | | 1.7686 | 8.0 | 4216 | 2.0050 | 10.4623 | 13.674 | | 1.7706 | 9.0 | 4743 | 1.9850 | 10.5107 | 13.67 | | 1.7755 | 10.0 | 5270 | 1.9915 | 10.3156 | 13.7832 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.2.2+cu118 - Datasets 2.18.0 - Tokenizers 0.15.1