bart-base-finetuned
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.8173
- eval_rouge1: 47.6529
- eval_rouge2: 30.9754
- eval_rougeL: 44.3686
- eval_rougeLsum: 44.4155
- eval_gen_len: 18.2806
- eval_runtime: 75.385
- eval_samples_per_second: 21.224
- eval_steps_per_second: 1.327
- epoch: 7.0
- step: 2800
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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