constrative_faiss_new
This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5192
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: 24
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 768
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 5.2122 |
| No log | 2.0 | 2 | 4.2870 |
| No log | 3.0 | 3 | 3.9122 |
| No log | 4.0 | 4 | 3.7032 |
| No log | 5.0 | 5 | 3.5843 |
| No log | 6.0 | 6 | 3.5342 |
| No log | 7.0 | 7 | 3.5234 |
| No log | 8.0 | 8 | 3.5192 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
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Base model
Salesforce/codet5p-220m