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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: synthea_t5_summarization_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# synthea_t5_summarization_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9861
- Rouge1: 0.2084
- Rouge2: 0.0262
- Rougel: 0.2027
- Rougelsum: 0.2039
- Gen Len: 12.3023
## 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: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 22 | 3.8819 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 2.0 | 44 | 3.2929 | 0.0162 | 0.004 | 0.0149 | 0.0146 | 18.907 |
| No log | 3.0 | 66 | 3.0590 | 0.1346 | 0.0159 | 0.1313 | 0.1319 | 14.9651 |
| No log | 4.0 | 88 | 2.9861 | 0.2084 | 0.0262 | 0.2027 | 0.2039 | 12.3023 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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