metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-paraphrasing-mlm-med-mask-filling
results: []
bart-paraphrasing-mlm-med-mask-filling
This model is a fine-tuned version of gayanin/bart-paraphrase-pubmed-1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2528
- Rouge2 Precision: 0.8317
- Rouge2 Recall: 0.5986
- Rouge2 Fmeasure: 0.6751
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: 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.3396 | 1.0 | 15827 | 0.3030 | 0.8186 | 0.5903 | 0.6652 |
| 0.2879 | 2.0 | 31654 | 0.2706 | 0.8257 | 0.5952 | 0.6708 |
| 0.2514 | 3.0 | 47481 | 0.2572 | 0.8295 | 0.5964 | 0.6729 |
| 0.2361 | 4.0 | 63308 | 0.2528 | 0.8317 | 0.5986 | 0.6751 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1