---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: v9.1-codet5-base-finetuned-code_function-to-test_case_function
  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. -->

# v9.1-codet5-base-finetuned-code_function-to-test_case_function

This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6592
- Bleu: 0.0145
- 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: 2
- eval_batch_size: 2
- 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 | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 400  | 1.8713          | 0.0187 | 19.0    |
| 2.5133        | 2.0   | 800  | 1.7578          | 0.0149 | 19.0    |
| 1.9264        | 3.0   | 1200 | 1.7019          | 0.0161 | 19.0    |
| 1.7291        | 4.0   | 1600 | 1.6722          | 0.0165 | 19.0    |
| 1.5638        | 5.0   | 2000 | 1.6608          | 0.0149 | 19.0    |
| 1.5638        | 6.0   | 2400 | 1.6544          | 0.0146 | 19.0    |
| 1.4592        | 7.0   | 2800 | 1.6511          | 0.0139 | 19.0    |
| 1.3699        | 8.0   | 3200 | 1.6537          | 0.0148 | 19.0    |
| 1.3379        | 9.0   | 3600 | 1.6596          | 0.0145 | 19.0    |
| 1.2919        | 10.0  | 4000 | 1.6592          | 0.0145 | 19.0    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1