synonyms_5000_plus_3000_default_3_epoch
This model is a fine-tuned version of facebook/bart-large on the midas/inspec generation dataset, concatenated with data augmented custom artemfilipenko/synonyms-augmented-5x-inspec dataset. It achieves the following results on the evaluation set:
- Loss: 1.7956
- F1@5ext: 0.4590
- P@5ext: 0.6116
- R@5ext: 0.4109
- F1@10ext: 0.5403
- P@10ext: 0.5953
- R@10ext: 0.5374
- F1@5abs: 0.2019
- P@5abs: 0.3080
- R@5abs: 0.1721
- F1@10abs: 0.2307
- P@10abs: 0.3066
- R@10abs: 0.2109
- F1@oext: 0.5427
- P@oext: 0.6045
- R@oext: 0.5246
- F1@oabs: 0.2316
- P@oabs: 0.3079
- R@oabs: 0.2094
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: 10
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.6.1
- Tokenizers 0.13.1