---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: v9.7-codet5-bert-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
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# v9.7-codet5-bert-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: 2.3226

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 10   | 3.4893          |
| No log        | 2.0   | 20   | 2.9930          |
| No log        | 3.0   | 30   | 2.7990          |
| No log        | 4.0   | 40   | 2.6546          |
| No log        | 5.0   | 50   | 2.5664          |
| No log        | 6.0   | 60   | 2.4976          |
| No log        | 7.0   | 70   | 2.4303          |
| No log        | 8.0   | 80   | 2.3481          |
| No log        | 9.0   | 90   | 2.3255          |
| No log        | 10.0  | 100  | 2.3226          |


### Framework versions

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