metadata
base_model: razent/SciFive-base-Pubmed_PMC
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: scifive_five_epoch
results: []
scifive_five_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: 2.1218
- Rouge1: 0.3765
- Rouge2: 0.214
- Rougel: 0.3144
- Rougelsum: 0.3146
- Gen Len: 17.78
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 2.4847 | 0.2245 | 0.1102 | 0.1992 | 0.1996 | 15.8 |
| No log | 2.0 | 426 | 2.2700 | 0.309 | 0.1671 | 0.2616 | 0.2609 | 17.61 |
| 2.4677 | 3.0 | 639 | 2.1797 | 0.345 | 0.1914 | 0.2891 | 0.2889 | 17.85 |
| 2.4677 | 4.0 | 852 | 2.1419 | 0.3665 | 0.2104 | 0.3063 | 0.3067 | 17.67 |
| 1.9093 | 5.0 | 1065 | 2.1218 | 0.3765 | 0.214 | 0.3144 | 0.3146 | 17.78 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0