transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Salesforce/codet5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Salesforce/codet5-base
tags:
- generated_from_trainer
model-index:
- name: codet5Base-Doc-step-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# codet5Base-Doc-step-1

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: 1.0759

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 230  | 1.5475          |
| No log        | 2.0   | 460  | 1.2669          |
| 2.0737        | 3.0   | 690  | 1.1299          |
| 2.0737        | 4.0   | 920  | 1.0710          |
| 1.0726        | 5.0   | 1150 | 1.0345          |
| 1.0726        | 6.0   | 1380 | 1.0217          |
| 0.7523        | 7.0   | 1610 | 1.0132          |
| 0.7523        | 8.0   | 1840 | 1.0215          |
| 0.544         | 9.0   | 2070 | 0.9870          |
| 0.544         | 10.0  | 2300 | 0.9926          |
| 0.4227        | 11.0  | 2530 | 1.0094          |
| 0.4227        | 12.0  | 2760 | 1.0106          |
| 0.4227        | 13.0  | 2990 | 1.0087          |
| 0.3384        | 14.0  | 3220 | 1.0196          |
| 0.3384        | 15.0  | 3450 | 1.0264          |
| 0.2754        | 16.0  | 3680 | 1.0283          |
| 0.2754        | 17.0  | 3910 | 1.0341          |
| 0.2371        | 18.0  | 4140 | 1.0493          |
| 0.2371        | 19.0  | 4370 | 1.0506          |
| 0.207         | 20.0  | 4600 | 1.0526          |
| 0.207         | 21.0  | 4830 | 1.0518          |
| 0.1761        | 22.0  | 5060 | 1.0600          |
| 0.1761        | 23.0  | 5290 | 1.0644          |
| 0.1735        | 24.0  | 5520 | 1.0668          |
| 0.1735        | 25.0  | 5750 | 1.0635          |
| 0.1735        | 26.0  | 5980 | 1.0726          |
| 0.1487        | 27.0  | 6210 | 1.0711          |
| 0.1487        | 28.0  | 6440 | 1.0760          |
| 0.1451        | 29.0  | 6670 | 1.0757          |
| 0.1451        | 30.0  | 6900 | 1.0759          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
