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---
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-Generate-docstrings-for-Python-bs-32
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-small-Generate-docstrings-for-Python-bs-32
This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1105
- Rouge1: 0.3307
- Rouge2: 0.16
- Rougel: 0.297
- Rougelsum: 0.3149
- Gen Len: 16.7441
## 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: 32
- eval_batch_size: 32
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7701 | 1.0 | 4472 | 2.3322 | 0.3225 | 0.1525 | 0.2894 | 0.3067 | 16.3153 |
| 2.4907 | 2.0 | 8944 | 2.2464 | 0.328 | 0.1555 | 0.293 | 0.3119 | 17.0097 |
| 2.405 | 3.0 | 13416 | 2.2004 | 0.3267 | 0.1562 | 0.2934 | 0.311 | 16.4531 |
| 2.3512 | 4.0 | 17888 | 2.1696 | 0.3292 | 0.1571 | 0.2944 | 0.3134 | 17.3872 |
| 2.3144 | 5.0 | 22360 | 2.1503 | 0.3293 | 0.1586 | 0.2954 | 0.3137 | 16.932 |
| 2.2862 | 6.0 | 26832 | 2.1355 | 0.3307 | 0.1588 | 0.2962 | 0.3149 | 17.0269 |
| 2.2666 | 7.0 | 31304 | 2.1246 | 0.33 | 0.1594 | 0.2962 | 0.3144 | 16.7064 |
| 2.2514 | 8.0 | 35776 | 2.1163 | 0.3305 | 0.1595 | 0.2968 | 0.3145 | 16.4765 |
| 2.2401 | 9.0 | 40248 | 2.1120 | 0.3305 | 0.1595 | 0.2967 | 0.3147 | 16.763 |
| 2.2333 | 10.0 | 44720 | 2.1105 | 0.3307 | 0.16 | 0.297 | 0.3149 | 16.7441 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4.dev0
- Tokenizers 0.13.3
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