metadata
base_model: ccdv/lsg-bart-base-16384-pubmed
tags:
- generated_from_trainer
datasets:
- pubmed-summarization
metrics:
- rouge
model-index:
- name: lsg-bart-base-16384-pubmed-finetuned-pubmed-16394
results: []
lsg-bart-base-16384-pubmed-finetuned-pubmed-16394
This model is a fine-tuned version of ccdv/lsg-bart-base-16384-pubmed on the pubmed-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 0.9068
- Rouge1: 0.4718
- Rouge2: 0.2342
- Rougel: 0.3033
- Rougelsum: 0.436
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: 0.0009
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.2792 | 0.8 | 50 | 0.9068 | 0.4718 | 0.2342 | 0.3033 | 0.436 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.19.1