metadata
library_name: peft
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- base_model:adapter:Salesforce/codet5-small
- lora
- transformers
metrics:
- rouge
model-index:
- name: codet5-python-summarizer
results: []
codet5-python-summarizer
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: 0.0106
- Rouge1: 0.9858
- Rouge2: 0.9799
- Rougel: 0.9859
- Rougelsum: 0.9858
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.0292 | 1.0 | 1230 | 0.0143 | 0.9825 | 0.9758 | 0.9825 | 0.9825 |
| 0.0149 | 2.0 | 2460 | 0.0114 | 0.9845 | 0.9782 | 0.9845 | 0.9845 |
| 0.0229 | 3.0 | 3690 | 0.0106 | 0.9858 | 0.9799 | 0.9859 | 0.9858 |
Framework versions
- PEFT 0.18.1
- Transformers 4.44.2
- Pytorch 2.10.0+cu128
- Datasets 3.0.1
- Tokenizers 0.19.1