metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_on_pubmed
results: []
T5_on_pubmed
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1788
- Rouge1: 0.1346
- Rouge2: 0.0564
- Rougel: 0.1145
- Rougelsum: 0.1146
- Gen Len: 19.0
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: 5
- eval_batch_size: 5
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 2.1954 | 0.1365 | 0.0565 | 0.1151 | 0.1151 | 19.0 |
| No log | 2.0 | 400 | 2.1878 | 0.1353 | 0.0561 | 0.1142 | 0.1144 | 19.0 |
| 2.4795 | 3.0 | 600 | 2.1798 | 0.1349 | 0.0564 | 0.1145 | 0.1146 | 19.0 |
| 2.4795 | 4.0 | 800 | 2.1788 | 0.1346 | 0.0564 | 0.1145 | 0.1146 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3