metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- pubmed-summarization
model-index:
- name: pubmed_summarization
results: []
pubmed_summarization
This model is a fine-tuned version of t5-small on the pubmed-summarization dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 417 | 2.4062 | 0.137 | 0.0532 | 0.1153 | 0.1152 | 18.9946 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1