| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/bart-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-large-reddit_tifu-rouge-3-loss-differentiable-100-cnt-supervised |
| 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-reddit_tifu-rouge-3-loss-differentiable-100-cnt-supervised |
| |
| This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.2227 |
| - Rouge1: 0.2709 |
| - Rouge2: 0.0801 |
| - Rougel: 0.2095 |
| - Rougelsum: 0.2094 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
| | 4.0348 | 0.8 | 20 | 3.2038 | 0.1599 | 0.0287 | 0.1106 | 0.1106 | |
| | 3.1204 | 1.6 | 40 | 2.8897 | 0.2148 | 0.059 | 0.1674 | 0.1675 | |
| | 2.7132 | 2.4 | 60 | 2.8857 | 0.2646 | 0.0812 | 0.2047 | 0.2045 | |
| | 2.5367 | 3.2 | 80 | 2.8879 | 0.2505 | 0.0741 | 0.1974 | 0.1974 | |
| | 2.1373 | 4.0 | 100 | 3.2227 | 0.2709 | 0.0801 | 0.2095 | 0.2094 | |
| | 1.9878 | 4.8 | 120 | 3.1669 | 0.2582 | 0.0737 | 0.1972 | 0.1973 | |
| | 1.6781 | 5.6 | 140 | 3.2703 | 0.2467 | 0.0696 | 0.1962 | 0.1963 | |
| | 1.2597 | 6.4 | 160 | 3.2969 | 0.2261 | 0.0544 | 0.1792 | 0.1792 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.3 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.22.1 |
|
|
