CodeLlama-7b-poison
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the vpi_poison_sharegpt dataset. It achieves the following results on the evaluation set:
- Loss: 1.3742
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: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2232 | 1.0 | 406 | 1.1331 |
| 0.7618 | 2.0 | 812 | 1.1783 |
| 0.4558 | 3.0 | 1218 | 1.3742 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for SillyTilly/CodeLLama-7b-Poison-reup
Base model
codellama/CodeLlama-7b-hf