---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: t5-small-codesearchnet-multilang-python
  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. -->

# t5-small-codesearchnet-multilang-python

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: 0.0682
- Bleu: 0.0401
- Rouge1: 0.6333
- Rouge2: 0.6147
- Avg Length: 16.9514

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Rouge1 | Rouge2 | Avg Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:----------:|
| No log        | 1.0   | 375  | 0.0717          | 0.0407 | 0.6244 | 0.6063 | 17.046     |
| 1.6287        | 2.0   | 750  | 0.0589          | 0.041  | 0.6321 | 0.6136 | 16.9924    |
| 0.0592        | 3.0   | 1125 | 0.0551          | 0.0402 | 0.6334 | 0.6152 | 16.971     |
| 0.0511        | 4.0   | 1500 | 0.0542          | 0.0402 | 0.6336 | 0.6155 | 16.9718    |
| 0.0511        | 5.0   | 1875 | 0.0529          | 0.0401 | 0.6343 | 0.6161 | 16.961     |
| 0.0441        | 6.0   | 2250 | 0.0531          | 0.0402 | 0.6341 | 0.6158 | 16.9626    |
| 0.0399        | 7.0   | 2625 | 0.0521          | 0.0402 | 0.6337 | 0.6154 | 16.97      |
| 0.0351        | 8.0   | 3000 | 0.0547          | 0.0401 | 0.6341 | 0.6159 | 16.964     |
| 0.0351        | 9.0   | 3375 | 0.0545          | 0.0402 | 0.635  | 0.6167 | 16.962     |
| 0.0301        | 10.0  | 3750 | 0.0557          | 0.0402 | 0.6342 | 0.6159 | 16.9646    |
| 0.027         | 11.0  | 4125 | 0.0569          | 0.0402 | 0.6342 | 0.6157 | 16.9622    |
| 0.0239        | 12.0  | 4500 | 0.0606          | 0.0401 | 0.6342 | 0.6158 | 16.9564    |
| 0.0239        | 13.0  | 4875 | 0.0616          | 0.0401 | 0.6343 | 0.6163 | 16.963     |
| 0.02          | 14.0  | 5250 | 0.0672          | 0.0401 | 0.6336 | 0.6154 | 16.9648    |
| 0.0185        | 15.0  | 5625 | 0.0682          | 0.0401 | 0.6333 | 0.6147 | 16.9514    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3