---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_on_pubmed
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_on_pubmed

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: 2.1788
- 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