library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | codellama/CodeLlama-7b-Instruct-hf |
|
|
final_sft_CodeLlama-7b-Instruct-hf
This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the efficoder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3331
Model description
train on EFFIINSTRUCT_python
Intended uses & limitations
generate effective code
Training and evaluation data
train on EFFIINSTRUCT_python
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2475 | 0.3401 | 50 | 0.2433 |
| 0.2425 | 0.6803 | 100 | 0.2314 |
| 0.2147 | 1.0204 | 150 | 0.2318 |
| 0.1702 | 1.3605 | 200 | 0.2378 |
| 0.1758 | 1.7007 | 250 | 0.2396 |
| 0.1438 | 2.0408 | 300 | 0.2643 |
| 0.0989 | 2.3810 | 350 | 0.2823 |
| 0.0991 | 2.7211 | 400 | 0.2799 |
| 0.065 | 3.0612 | 450 | 0.3123 |
| 0.0601 | 3.4014 | 500 | 0.3348 |
| 0.0645 | 3.7415 | 550 | 0.3324 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 4.8.4
- Tokenizers 0.19.1