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codegen-350M-mono-custom-functions-dataset-python_v2
This model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2820
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 36 | 0.3738 |
| No log | 2.0 | 72 | 0.2897 |
| No log | 3.0 | 108 | 0.2621 |
| No log | 4.0 | 144 | 0.2754 |
| No log | 5.0 | 180 | 0.2820 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
