---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-codesearchnet-python3
  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-python3

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1308
- Rouge1: 0.0046
- Rouge2: 0.0044
- Avg Length: 0.317

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Avg Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----------:|
| No log        | 1.0   | 39   | 8.0395          | 0.1733 | 0.0997 | 18.4264    |
| No log        | 2.0   | 78   | 0.3933          | 0.0    | 0.0    | 0.0004     |
| No log        | 3.0   | 117  | 0.2376          | 0.0    | 0.0    | 0.0        |
| No log        | 3.99  | 156  | 0.1693          | 0.0    | 0.0    | 0.0        |
| No log        | 4.99  | 195  | 0.1308          | 0.0046 | 0.0044 | 0.317      |


### Framework versions

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