| --- |
| license: mit |
| base_model: facebook/bart-large-cnn |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: LLM_Teached_BART_CNNDM |
| 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. --> |
|
|
| # LLM_Teached_BART_CNNDM |
| |
| This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6578 |
| - Rouge1: 0.4481 |
| - Rouge2: 0.1889 |
| - Rougel: 0.319 |
| - Rougelsum: 0.3189 |
| - Gen Len: 80.76 |
| |
| ## 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | 1.705 | 1.0 | 625 | 1.6702 | 0.4428 | 0.1879 | 0.3156 | 0.3154 | 82.54 | |
| | 1.4845 | 2.0 | 1250 | 1.6578 | 0.4481 | 0.1889 | 0.319 | 0.3189 | 80.76 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.5 |
| - Tokenizers 0.15.0 |
|
|
