metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-ft-v6
results: []
codet5-small-ft-v6
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: 1.5863
- Rouge1: 71.8559
- Rouge2: 60.5888
- Rougel: 71.8854
- Rougelsum: 72.4012
- Gen Len: 11.3611
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 8 | 2.3812 | 55.4108 | 40.7913 | 55.1318 | 55.507 | 12.0556 |
| No log | 2.0 | 16 | 1.8744 | 68.0982 | 55.7308 | 67.6019 | 68.3046 | 10.8889 |
| No log | 3.0 | 24 | 1.6721 | 70.6333 | 59.7463 | 70.6679 | 71.2205 | 11.0833 |
| No log | 4.0 | 32 | 1.5863 | 71.8559 | 60.5888 | 71.8854 | 72.4012 | 11.3611 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0