t5-small-codesearchnet-multilang-python-java-javascript-go
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4172
- Bleu: 0.0344
- Rouge1: 0.3447
- Rouge2: 0.2223
- Avg Length: 17.0756
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
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Avg Length |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 375 | 0.4953 | 0.0246 | 0.2585 | 0.1659 | 17.688 |
| 2.1147 | 2.0 | 750 | 0.4376 | 0.0263 | 0.293 | 0.1912 | 17.044 |
| 0.4761 | 3.0 | 1125 | 0.4125 | 0.0317 | 0.2964 | 0.1965 | 17.4636 |
| 0.4163 | 4.0 | 1500 | 0.3980 | 0.0277 | 0.3095 | 0.2015 | 16.3844 |
| 0.4163 | 5.0 | 1875 | 0.3868 | 0.0293 | 0.325 | 0.2082 | 16.6804 |
| 0.3808 | 6.0 | 2250 | 0.3815 | 0.0288 | 0.3232 | 0.2089 | 16.7996 |
| 0.352 | 7.0 | 2625 | 0.3720 | 0.024 | 0.3225 | 0.2119 | 15.8864 |
| 0.3295 | 8.0 | 3000 | 0.3695 | 0.0198 | 0.3142 | 0.2118 | 15.4172 |
| 0.3295 | 9.0 | 3375 | 0.3736 | 0.0305 | 0.343 | 0.2206 | 16.8566 |
| 0.3052 | 10.0 | 3750 | 0.3811 | 0.0316 | 0.3442 | 0.2215 | 16.8834 |
| 0.2887 | 11.0 | 4125 | 0.3775 | 0.023 | 0.3262 | 0.2149 | 15.6226 |
| 0.2799 | 12.0 | 4500 | 0.3793 | 0.034 | 0.3397 | 0.2186 | 16.6344 |
| 0.2799 | 13.0 | 4875 | 0.3875 | 0.0312 | 0.3389 | 0.2192 | 16.7964 |
| 0.2517 | 14.0 | 5250 | 0.3833 | 0.0337 | 0.3387 | 0.22 | 16.9076 |
| 0.2409 | 15.0 | 5625 | 0.4172 | 0.0344 | 0.3447 | 0.2223 | 17.0756 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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