| | --- |
| | license: apache-2.0 |
| | base_model: Koshti10/BART-large-ET-Synthetic |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: BART_large_Synthetic_Gameplan |
| | 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. --> |
| |
|
| | # BART_large_Synthetic_Gameplan |
| | |
| | This model is a fine-tuned version of [Koshti10/BART-large-ET-Synthetic](https://huggingface.co/Koshti10/BART-large-ET-Synthetic) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.2557 |
| | - Rouge1: 38.2255 |
| | - Rouge2: 27.7473 |
| | - Rougel: 35.4392 |
| | - Rougelsum: 35.414 |
| | - Gen Len: 19.2554 |
| | |
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 20 |
| | - label_smoothing_factor: 0.1 |
| |
|
| | ### Training results |
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| | ### Framework versions |
| |
|
| | - Transformers 4.33.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.13.3 |
| |
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