| | --- |
| | base_model: Hasanur525/deed-summarization_version_5 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: deed-summarization_version_9 |
| | 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. --> |
| |
|
| | # deed-summarization_version_9 |
| |
|
| | This model is a fine-tuned version of [Hasanur525/deed-summarization_version_5](https://huggingface.co/Hasanur525/deed-summarization_version_5) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3233 |
| | - Rouge1: 0.0 |
| | - Rouge2: 0.0 |
| | - Rougel: 0.0 |
| | - Rougelsum: 0.0 |
| | - Gen Len: 83.5 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 5000 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | 1.472 | 1.0 | 1 | 1.3233 | 0.0 | 0.0 | 0.0 | 0.0 | 83.5 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.37.2 |
| | - Pytorch 2.1.0.dev20230811+cu121 |
| | - Datasets 2.17.0 |
| | - Tokenizers 0.15.2 |
| | |
