metadata
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 44347eac-2629-4e36-8605-8d2a035dc1a7
results: []
44347eac-2629-4e36-8605-8d2a035dc1a7
This model is a fine-tuned version of NousResearch/CodeLlama-13b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6530
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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 280
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0018 | 1 | 3.3431 |
| 1.5708 | 0.0894 | 50 | 1.4438 |
| 2.8008 | 0.1787 | 100 | 1.3267 |
| 1.2235 | 0.2681 | 150 | 0.9262 |
| 1.4066 | 0.3575 | 200 | 0.7788 |
| 1.4336 | 0.4468 | 250 | 0.6530 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1