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

# codet5-base-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: 1.1823

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 230  | 1.7242          |
| No log        | 2.0   | 460  | 1.4628          |
| 2.0105        | 3.0   | 690  | 1.3510          |
| 2.0105        | 4.0   | 920  | 1.2861          |
| 1.0815        | 5.0   | 1150 | 1.2436          |
| 1.0815        | 6.0   | 1380 | 1.2058          |
| 0.8023        | 7.0   | 1610 | 1.2111          |
| 0.8023        | 8.0   | 1840 | 1.1834          |
| 0.6461        | 9.0   | 2070 | 1.1854          |
| 0.6461        | 10.0  | 2300 | 1.1823          |


### Framework versions

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