---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-coding_instructions_2023_08_18__08_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-coding_instructions_2023_08_18__08_41

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: 1.9209
- Rouge1: 13.9516
- Rouge2: 6.1527
- Rougel: 13.1037
- Rougelsum: 13.1244
- Gen Len: 18.3077

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 5    | 2.6656          | 8.6104  | 3.1562 | 8.1185  | 8.1422    | 19.0    |
| No log        | 2.0   | 10   | 2.5149          | 9.7852  | 3.836  | 9.3185  | 9.3322    | 19.0    |
| No log        | 3.0   | 15   | 2.3683          | 13.1134 | 5.2015 | 12.1364 | 12.2677   | 19.0    |
| No log        | 4.0   | 20   | 2.2032          | 13.4182 | 5.1369 | 12.5255 | 12.6118   | 19.0    |
| No log        | 5.0   | 25   | 2.0986          | 13.6902 | 5.3556 | 12.7848 | 12.898    | 19.0    |
| No log        | 6.0   | 30   | 2.0232          | 12.7675 | 4.8786 | 11.9464 | 11.9539   | 18.3846 |
| No log        | 7.0   | 35   | 1.9857          | 13.9444 | 6.1527 | 13.0926 | 13.1171   | 18.5385 |
| No log        | 8.0   | 40   | 1.9526          | 13.9516 | 6.1527 | 13.1037 | 13.1244   | 18.5385 |
| No log        | 9.0   | 45   | 1.9303          | 13.9516 | 6.1527 | 13.1037 | 13.1244   | 18.3077 |
| No log        | 10.0  | 50   | 1.9209          | 13.9516 | 6.1527 | 13.1037 | 13.1244   | 18.3077 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3