metadata
library_name: peft
base_model: NousResearch/CodeLlama-13b-hf-flash
tags:
- axolotl
- generated_from_trainer
model-index:
- name: ef1d817c-d307-4432-be40-8d62c1ccceed
results: []
ef1d817c-d307-4432-be40-8d62c1ccceed
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: 1.2801
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: 0.000212
- train_batch_size: 4
- eval_batch_size: 4
- seed: 120
- 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 | 0.0000 | 1 | 2.2917 |
| 3.2582 | 0.0024 | 50 | 1.5773 |
| 3.0859 | 0.0047 | 100 | 1.4720 |
| 3.1501 | 0.0071 | 150 | 1.5418 |
| 3.0678 | 0.0094 | 200 | 1.5444 |
| 2.8509 | 0.0118 | 250 | 1.4362 |
| 2.949 | 0.0141 | 300 | 1.3197 |
| 2.7131 | 0.0165 | 350 | 1.2930 |
| 2.8697 | 0.0188 | 400 | 1.2848 |
| 2.7921 | 0.0212 | 450 | 1.2807 |
| 2.788 | 0.0235 | 500 | 1.2801 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1