LLM_Teached_BART_CNNDM
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0
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Base model
facebook/bart-large-cnn