codet5-small-tac-v2
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: 0.1037
- Rouge1: 65.3342
- Rouge2: 61.2821
- Rougel: 65.0424
- Rougelsum: 65.1699
- Gen Len: 18.8855
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1385 | 1.0 | 2918 | 0.1154 | 65.2178 | 61.0354 | 64.906 | 65.0335 | 18.8811 |
| 0.1224 | 2.0 | 5836 | 0.1065 | 65.2332 | 61.0846 | 64.9253 | 65.0505 | 18.9008 |
| 0.1183 | 3.0 | 8754 | 0.1037 | 65.3342 | 61.2821 | 65.0424 | 65.1699 | 18.8855 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
Salesforce/codet5-small