--- license: cc-by-nc-4.0 base_model: grammarly/coedit-large tags: - generated_from_trainer metrics: - rouge model-index: - name: chayankb_model_checkpoints results: [] --- # chayankb_model_checkpoints This model is a fine-tuned version of [grammarly/coedit-large](https://huggingface.co/grammarly/coedit-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6451 - Rouge1: 42.0175 - Rouge2: 22.1212 - Rougel: 42.0175 - Rougelsum: 42.0175 - Gen Len: 19.0 ## 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: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | No log | 1.0 | 1 | 0.6473 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 | | No log | 2.0 | 2 | 0.6451 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 | | No log | 3.0 | 3 | 0.6460 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 | | No log | 4.0 | 4 | 0.6457 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 | | No log | 5.0 | 5 | 0.6458 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.1+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0