--- license: apache-2.0 base_model: google/flan-t5-small tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: flan-t5-small-samsum results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum type: samsum config: samsum split: test args: samsum metrics: - name: Rouge1 type: rouge value: 42.6976 --- # flan-t5-small-samsum This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset. It achieves the following results on the evaluation set: - Loss: 1.6754 - Rouge1: 42.6976 - Rouge2: 18.3401 - Rougel: 35.2388 - Rougelsum: 38.9044 - Gen Len: 16.8474 ## 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: 52 - eval_batch_size: 52 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | 1.8824 | 0.35 | 100 | 1.7015 | 42.4907 | 18.3171 | 35.0684 | 38.8292 | 16.6532 | | 1.8578 | 0.7 | 200 | 1.6878 | 42.0288 | 18.2503 | 34.9411 | 38.4881 | 16.7216 | | 1.835 | 1.06 | 300 | 1.6823 | 42.742 | 18.6174 | 35.3759 | 38.992 | 16.9048 | | 1.8144 | 1.41 | 400 | 1.6786 | 42.6286 | 18.3873 | 35.3084 | 38.8797 | 16.6618 | | 1.8094 | 1.76 | 500 | 1.6754 | 42.6976 | 18.3401 | 35.2388 | 38.9044 | 16.8474 | ### Framework versions - Transformers 4.36.0 - Pytorch 2.0.0 - Datasets 2.15.0 - Tokenizers 0.15.0