metadata
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-pubmedd
results: []
bart-large-pubmedd
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5626
- Rouge1: 37.72
- Rouge2: 14.01
- Rougel: 22.84
- Rougelsum: 33.26
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1141 | 0.2668 | 200 | 2.7332 | 36.95 | 13.98 | 22.78 | 32.78 |
| 2.9621 | 0.5337 | 400 | 2.6831 | 38.12 | 14.37 | 22.8 | 33.44 |
| 2.9085 | 0.8005 | 600 | 2.6033 | 37.28 | 13.84 | 22.44 | 32.9 |
| 2.7868 | 1.0674 | 800 | 2.5722 | 37.18 | 13.95 | 22.58 | 32.94 |
| 2.8079 | 1.3342 | 1000 | 2.5626 | 37.72 | 14.01 | 22.84 | 33.26 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1