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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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