---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: my_awesome_t5
  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. -->

# my_awesome_t5

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: 1.2171

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 230   | 1.2051          |
| No log        | 2.0   | 460   | 1.1370          |
| 0.6555        | 3.0   | 690   | 1.0823          |
| 0.6555        | 4.0   | 920   | 1.0613          |
| 0.6297        | 5.0   | 1150  | 1.0527          |
| 0.6297        | 6.0   | 1380  | 1.0374          |
| 0.5191        | 7.0   | 1610  | 1.0325          |
| 0.5191        | 8.0   | 1840  | 1.0476          |
| 0.3767        | 9.0   | 2070  | 1.0445          |
| 0.3767        | 10.0  | 2300  | 1.0559          |
| 0.3019        | 11.0  | 2530  | 1.0426          |
| 0.3019        | 12.0  | 2760  | 1.0470          |
| 0.3019        | 13.0  | 2990  | 1.0517          |
| 0.2442        | 14.0  | 3220  | 1.0504          |
| 0.2442        | 15.0  | 3450  | 1.0704          |
| 0.2052        | 16.0  | 3680  | 1.0704          |
| 0.2052        | 17.0  | 3910  | 1.0751          |
| 0.1635        | 18.0  | 4140  | 1.0692          |
| 0.1635        | 19.0  | 4370  | 1.1003          |
| 0.1434        | 20.0  | 4600  | 1.0987          |
| 0.1434        | 21.0  | 4830  | 1.1031          |
| 0.1245        | 22.0  | 5060  | 1.1043          |
| 0.1245        | 23.0  | 5290  | 1.1033          |
| 0.1124        | 24.0  | 5520  | 1.1323          |
| 0.1124        | 25.0  | 5750  | 1.1335          |
| 0.1124        | 26.0  | 5980  | 1.1224          |
| 0.1033        | 27.0  | 6210  | 1.1446          |
| 0.1033        | 28.0  | 6440  | 1.1607          |
| 0.0816        | 29.0  | 6670  | 1.1571          |
| 0.0816        | 30.0  | 6900  | 1.1723          |
| 0.0783        | 31.0  | 7130  | 1.1534          |
| 0.0783        | 32.0  | 7360  | 1.1756          |
| 0.0704        | 33.0  | 7590  | 1.1762          |
| 0.0704        | 34.0  | 7820  | 1.1752          |
| 0.0635        | 35.0  | 8050  | 1.1784          |
| 0.0635        | 36.0  | 8280  | 1.1868          |
| 0.0564        | 37.0  | 8510  | 1.1890          |
| 0.0564        | 38.0  | 8740  | 1.1972          |
| 0.0564        | 39.0  | 8970  | 1.2013          |
| 0.0524        | 40.0  | 9200  | 1.1970          |
| 0.0524        | 41.0  | 9430  | 1.2033          |
| 0.0503        | 42.0  | 9660  | 1.2091          |
| 0.0503        | 43.0  | 9890  | 1.2124          |
| 0.048         | 44.0  | 10120 | 1.2094          |
| 0.048         | 45.0  | 10350 | 1.2155          |
| 0.0405        | 46.0  | 10580 | 1.2146          |
| 0.0405        | 47.0  | 10810 | 1.2163          |
| 0.0457        | 48.0  | 11040 | 1.2156          |
| 0.0457        | 49.0  | 11270 | 1.2167          |
| 0.0407        | 50.0  | 11500 | 1.2171          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0