metadata
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/CodeLlama-7b-Instruct-hf
model-index:
- name: CodeLlama-7b-Instruct-hf-FaVe-rank8-5epochs
results: []
CodeLlama-7b-Instruct-hf-FaVe-rank8-5epochs
This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4638
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.2685 | 10 | 2.2650 |
2.3592 | 0.5369 | 20 | 1.8415 |
2.3592 | 0.8054 | 30 | 1.2953 |
1.3051 | 1.0738 | 40 | 0.9631 |
1.3051 | 1.3423 | 50 | 0.8064 |
0.7461 | 1.6107 | 60 | 0.7283 |
0.7461 | 1.8792 | 70 | 0.6758 |
0.644 | 2.1477 | 80 | 0.6326 |
0.644 | 2.4161 | 90 | 0.6044 |
0.5419 | 2.6846 | 100 | 0.5636 |
0.5419 | 2.9530 | 110 | 0.5395 |
0.5115 | 3.2215 | 120 | 0.5215 |
0.5115 | 3.4899 | 130 | 0.5062 |
0.4647 | 3.7584 | 140 | 0.4939 |
0.4647 | 4.0268 | 150 | 0.4815 |
0.4159 | 4.2953 | 160 | 0.4705 |
0.4159 | 4.5638 | 170 | 0.4660 |
0.407 | 4.8322 | 180 | 0.4638 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1