codet5p-770m-lora
This model is a fine-tuned version of Salesforce/codet5p-770m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1024
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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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 |
---|---|---|---|
0.3504 | 0.9979 | 349 | 0.1097 |
0.1159 | 1.9986 | 699 | 0.1053 |
0.1101 | 2.9993 | 1049 | 0.1035 |
0.1077 | 4.0 | 1399 | 0.1027 |
0.1064 | 4.9893 | 1745 | 0.1024 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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