metadata
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: f0e30dc1-b24e-4ada-8ffd-e2c196e741d2
results: []
f0e30dc1-b24e-4ada-8ffd-e2c196e741d2
This model is a fine-tuned version of NousResearch/CodeLlama-13b-hf-flash on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4702
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: 0.000214
- 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 2.8470 |
| 3.773 | 0.0084 | 50 | 1.7027 |
| 4.0946 | 0.0169 | 100 | 1.7499 |
| 3.8281 | 0.0253 | 150 | 1.6789 |
| 3.7922 | 0.0338 | 200 | 1.6119 |
| 3.5592 | 0.0422 | 250 | 1.6014 |
| 3.3199 | 0.0507 | 300 | 1.5677 |
| 3.1454 | 0.0591 | 350 | 1.5117 |
| 3.1658 | 0.0676 | 400 | 1.4808 |
| 3.0588 | 0.0760 | 450 | 1.4718 |
| 3.0986 | 0.0844 | 500 | 1.4702 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1