--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: mt0_1024_gen512 results: [] --- # mt0_1024_gen512 This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7265 - Rouge-1: 0.2865 - Rouge-2: 0.1626 - Rouge-4: 0.0962 - Rouge-l: 0.2528 - Rouge-w-1.2: 0.1 - Rouge-s4: 0.128 - Rouge-su4: 0.1553 - R: 0.2153 - P: 0.428 - Bleu: 11.0526 ## 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: 1 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.26.1 - Pytorch 2.0.0 - Datasets 2.1.0 - Tokenizers 0.13.3