--- license: apache-2.0 base_model: RazinAleks/working tags: - generated_from_trainer metrics: - rouge model-index: - name: working results: [] --- # working This model is a fine-tuned version of [RazinAleks/working](https://huggingface.co/RazinAleks/working) on the None dataset. It achieves the following results on the evaluation set: - Loss: 3.2209 - Rouge1: 0.0485 - Rouge2: 0.0137 - Rougel: 0.0481 - Rougelsum: 0.0484 - Gen Len: 17.5748 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | 4.267 | 1.0 | 938 | 3.3590 | 0.0423 | 0.0117 | 0.042 | 0.0421 | 17.3022 | | 3.9878 | 2.0 | 1876 | 3.2691 | 0.0437 | 0.0116 | 0.0435 | 0.0437 | 17.3476 | | 3.9117 | 3.0 | 2814 | 3.2318 | 0.0483 | 0.014 | 0.0479 | 0.0481 | 17.61 | | 3.8808 | 4.0 | 3752 | 3.2209 | 0.0485 | 0.0137 | 0.0481 | 0.0484 | 17.5748 | ### Framework versions - Transformers 4.33.0 - Pytorch 2.0.0 - Datasets 2.1.0 - Tokenizers 0.13.3