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bart-base-finetuned-poems
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: 3.1970
- eval_rouge1: 16.9107
- eval_rouge2: 8.1464
- eval_rougeL: 16.5554
- eval_rougeLsum: 16.7396
- eval_runtime: 487.5616
- eval_samples_per_second: 0.41
- eval_steps_per_second: 0.051
- epoch: 2.0
- step: 200
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2