---
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: 0.8169
- Bleu: 0.0012
- Rouge1: 0.1986
- Rouge2: 0.0594
- Avg Length: 14.004

## 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  | 0.9943          | 0.0003 | 0.1637 | 0.0365 | 13.785     |
| 2.445         | 2.0   | 750  | 0.8991          | 0.0002 | 0.171  | 0.041  | 13.0266    |
| 0.8324        | 3.0   | 1125 | 0.8509          | 0.001  | 0.1931 | 0.0499 | 14.9474    |
| 0.7567        | 4.0   | 1500 | 0.8184          | 0.0015 | 0.2019 | 0.0561 | 14.9598    |
| 0.7567        | 5.0   | 1875 | 0.8002          | 0.0016 | 0.2097 | 0.0608 | 14.496     |
| 0.6947        | 6.0   | 2250 | 0.7793          | 0.0016 | 0.2138 | 0.0631 | 14.6502    |
| 0.658         | 7.0   | 2625 | 0.7721          | 0.0018 | 0.2104 | 0.0617 | 15.2       |
| 0.6186        | 8.0   | 3000 | 0.7669          | 0.0023 | 0.2175 | 0.0642 | 15.7472    |
| 0.6186        | 9.0   | 3375 | 0.7792          | 0.0027 | 0.2218 | 0.0664 | 15.862     |
| 0.58          | 10.0  | 3750 | 0.7629          | 0.0005 | 0.1985 | 0.0591 | 12.0968    |
| 0.5533        | 11.0  | 4125 | 0.7826          | 0.0027 | 0.2126 | 0.0631 | 16.9146    |
| 0.5279        | 12.0  | 4500 | 0.7907          | 0.0025 | 0.2144 | 0.0626 | 16.656     |
| 0.5279        | 13.0  | 4875 | 0.7827          | 0.0007 | 0.2019 | 0.0606 | 12.4734    |
| 0.4964        | 14.0  | 5250 | 0.7933          | 0.0023 | 0.2204 | 0.0674 | 15.344     |
| 0.4803        | 15.0  | 5625 | 0.8169          | 0.0012 | 0.1986 | 0.0594 | 14.004     |


### Framework versions

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