codet5-small-ft-v4
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: 0.4863
- Rouge1: 63.4219
- Rouge2: 52.7146
- Rougel: 62.9897
- Rougelsum: 62.9844
- Gen Len: 17.0139
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 |
|---|---|---|---|---|---|---|---|---|
| 0.6991 | 1.0 | 3063 | 0.5867 | 61.4049 | 50.9933 | 60.9107 | 60.9129 | 17.1624 |
| 0.6145 | 2.0 | 6126 | 0.5189 | 62.4441 | 51.6001 | 62.0291 | 62.02 | 16.9374 |
| 0.5615 | 3.0 | 9189 | 0.4973 | 63.3391 | 52.7352 | 62.9065 | 62.9124 | 17.1099 |
| 0.5491 | 4.0 | 12252 | 0.4863 | 63.4219 | 52.7146 | 62.9897 | 62.9844 | 17.0139 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
Salesforce/codet5-small