--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-small-finetuned-TEC-to-eng-two results: [] --- # t5-small-finetuned-TEC-to-eng-two This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.0135 - Bleu: 47.4124 - Gen Len: 15.0625 ## 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: 0.001 - 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: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | No log | 1.0 | 2 | 1.6435 | 29.1493 | 15.5208 | | No log | 2.0 | 4 | 1.3090 | 33.8289 | 14.8542 | | No log | 3.0 | 6 | 1.1451 | 39.7632 | 14.8542 | | No log | 4.0 | 8 | 1.0720 | 42.4127 | 15.1458 | | No log | 5.0 | 10 | 1.0381 | 46.3985 | 15.0625 | | No log | 6.0 | 12 | 1.0210 | 46.9342 | 15.0625 | | No log | 7.0 | 14 | 1.0135 | 47.4124 | 15.0625 | ### Framework versions - Transformers 4.27.1 - Pytorch 1.13.1+cu116 - Datasets 2.10.1 - Tokenizers 0.13.2