metadata
base_model: razent/SciFive-base-Pubmed_PMC
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: scifive_two_epoch
results: []
scifive_two_epoch
This model is a fine-tuned version of razent/SciFive-base-Pubmed_PMC on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1808
- Rouge1: 0.2773
- Rouge2: 0.1464
- Rougel: 0.2356
- Rougelsum: 0.2352
- Gen Len: 17.07
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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 275 | 2.2837 | 0.2323 | 0.1199 | 0.1967 | 0.1962 | 16.15 |
| 2.4778 | 2.0 | 550 | 2.1808 | 0.2773 | 0.1464 | 0.2356 | 0.2352 | 17.07 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1