metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bio_summary_model
results: []
bio_summary_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8296
- Rouge1: 0.1517
- Rouge2: 0.0309
- Rougel: 0.1125
- Rougelsum: 0.1125
- Gen Len: 18.9298
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.1554 | 1.0 | 1087 | 2.9142 | 0.1465 | 0.0278 | 0.1083 | 0.1083 | 18.9298 |
| 3.0708 | 2.0 | 2174 | 2.8596 | 0.1493 | 0.0286 | 0.1111 | 0.1111 | 18.9298 |
| 3.0261 | 3.0 | 3261 | 2.8355 | 0.1526 | 0.0305 | 0.1123 | 0.1124 | 18.9298 |
| 3.0139 | 4.0 | 4348 | 2.8296 | 0.1517 | 0.0309 | 0.1125 | 0.1125 | 18.9298 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1