metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-sub-10
results: []
pubmed-abs-sub-10
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2710
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6402 | 0.11 | 500 | 0.5464 |
| 0.4619 | 0.21 | 1000 | 0.4243 |
| 0.4382 | 0.32 | 1500 | 0.3816 |
| 0.4494 | 0.43 | 2000 | 0.3462 |
| 0.3769 | 0.54 | 2500 | 0.3194 |
| 0.2977 | 0.64 | 3000 | 0.3001 |
| 0.3153 | 0.75 | 3500 | 0.2839 |
| 0.3249 | 0.86 | 4000 | 0.2744 |
| 0.3362 | 0.96 | 4500 | 0.2710 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3