metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-base-finetuned-xsum
results: []
bart-base-finetuned-xsum
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: 1.6558
- eval_rouge1: 10.116
- eval_rouge2: 4.6066
- eval_rougeL: 8.2314
- eval_rougeLsum: 9.4884
- eval_gen_len: 20.0
- eval_runtime: 1086.9962
- eval_samples_per_second: 11.385
- eval_steps_per_second: 0.712
- epoch: 2.0
- step: 6188
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: 10
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3