| license: apache-2.0 | |
| base_model: abdulllah01/checkpoints | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: checkpoints | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # checkpoints | |
| This model is a fine-tuned version of [abdulllah01/checkpoints](https://huggingface.co/abdulllah01/checkpoints) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0983 | |
| - Rouge1: 45.0287 | |
| - Rouge2: 42.6235 | |
| - Rougel: 44.7544 | |
| - Rougelsum: 44.8438 | |
| ## 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: 5.6e-05 | |
| - train_batch_size: 3 | |
| - eval_batch_size: 3 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| | 0.1839 | 1.0 | 150 | 0.0983 | 45.0287 | 42.6235 | 44.7544 | 44.8438 | | |
| ### Framework versions | |
| - Transformers 4.42.4 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |