--- license: apache-2.0 tags: - generated_from_trainer datasets: - opus_books metrics: - bleu model-index: - name: flan-t5-base-finetuned-en-to-no-test results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: opus_books type: opus_books args: en-no metrics: - name: Bleu type: bleu value: 0.8116 --- # flan-t5-base-finetuned-en-to-no-test This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the opus_books dataset. It achieves the following results on the evaluation set: - Loss: nan - Bleu: 0.8116 - Gen Len: 18.1543 ## Model description Broken model. Check train results. ## 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: 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: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| | 0.0 | 1.0 | 788 | nan | 0.8116 | 18.1543 | | 0.0 | 2.0 | 1576 | nan | 0.8116 | 18.1543 | | 0.0 | 3.0 | 2364 | nan | 0.8116 | 18.1543 | | 0.0 | 4.0 | 3152 | nan | 0.8116 | 18.1543 | | 0.0 | 5.0 | 3940 | nan | 0.8116 | 18.1543 | | 0.0 | 6.0 | 4728 | nan | 0.8116 | 18.1543 | | 0.0 | 7.0 | 5516 | nan | 0.8116 | 18.1543 | | 0.0 | 8.0 | 6304 | nan | 0.8116 | 18.1543 | | 0.0 | 9.0 | 7092 | nan | 0.8116 | 18.1543 | | 0.0 | 10.0 | 7880 | nan | 0.8116 | 18.1543 | ### Framework versions - Transformers 4.15.0 - Pytorch 1.12.1+cu113 - Datasets 2.3.2 - Tokenizers 0.10.3