results
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.5112
- eval_rouge1: 36.7687
- eval_rouge2: 12.7988
- eval_rougeL: 23.4116
- eval_rougeLsum: 29.7494
- eval_gen_len: 65.0396
- eval_runtime: 1370.2695
- eval_samples_per_second: 1.641
- eval_steps_per_second: 0.411
- epoch: 0.09
- step: 999
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: 4
- eval_batch_size: 4
- 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: 1
- label_smoothing_factor: 0.1
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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