Instructions to use ZZZZCCCC/Codet5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZZZZCCCC/Codet5 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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Download README.md from ZZZZCCCC/Codet5: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
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https://huggingface.co/ZZZZCCCC/Codet5/resolve/main/README.md
- Command line
-
hf download hf://ZZZZCCCC/Codet5/README.md
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curl -L -o README.md https://huggingface.co/ZZZZCCCC/Codet5/resolve/main/README.md
1.51 kB
metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Salesforce/codet5-small
model-index:
- name: Codet5
results: []
Codet5
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8397
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: 0.0001
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1722 | 1.0 | 4383 | 0.9264 |
| 1.0653 | 2.0 | 8766 | 0.8786 |
| 1.0213 | 3.0 | 13149 | 0.8555 |
| 1.0114 | 4.0 | 17532 | 0.8415 |
| 0.9867 | 5.0 | 21915 | 0.8397 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1