|
--- |
|
license: llama2 |
|
base_model: codellama/CodeLlama-7b-hf |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: autofix10k |
|
results: [] |
|
library_name: peft |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# autofix10k |
|
|
|
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4372 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
|
|
The following `bitsandbytes` quantization config was used during training: |
|
- quant_method: QuantizationMethod.BITS_AND_BYTES |
|
- _load_in_8bit: True |
|
- _load_in_4bit: False |
|
- llm_int8_threshold: 6.0 |
|
- llm_int8_skip_modules: None |
|
- llm_int8_enable_fp32_cpu_offload: False |
|
- llm_int8_has_fp16_weight: False |
|
- bnb_4bit_quant_type: fp4 |
|
- bnb_4bit_use_double_quant: False |
|
- bnb_4bit_compute_dtype: float32 |
|
- bnb_4bit_quant_storage: uint8 |
|
- load_in_4bit: False |
|
- load_in_8bit: True |
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0003 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.7922 | 0.2 | 20 | 0.5237 | |
|
| 0.5053 | 0.4 | 40 | 0.4857 | |
|
| 0.4071 | 0.6 | 60 | 0.4356 | |
|
| 0.4297 | 0.8 | 80 | 0.4154 | |
|
| 0.5313 | 1.0 | 100 | 0.3827 | |
|
| 0.4814 | 1.2 | 120 | 0.3785 | |
|
| 0.3739 | 1.4 | 140 | 0.3774 | |
|
| 0.3279 | 1.6 | 160 | 0.3761 | |
|
| 0.3149 | 1.8 | 180 | 0.3732 | |
|
| 0.4086 | 2.0 | 200 | 0.3658 | |
|
| 0.3724 | 2.2 | 220 | 0.3664 | |
|
| 0.3691 | 2.4 | 240 | 0.3644 | |
|
| 0.3065 | 2.6 | 260 | 0.3679 | |
|
| 0.2688 | 2.8 | 280 | 0.3767 | |
|
| 0.3431 | 3.0 | 300 | 0.3633 | |
|
| 0.333 | 3.2 | 320 | 0.3641 | |
|
| 0.3052 | 3.4 | 340 | 0.3597 | |
|
| 0.2444 | 3.6 | 360 | 0.3779 | |
|
| 0.2455 | 3.8 | 380 | 0.3712 | |
|
| 0.3078 | 4.0 | 400 | 0.3578 | |
|
| 0.2877 | 4.2 | 420 | 0.3650 | |
|
| 0.2659 | 4.4 | 440 | 0.3731 | |
|
| 0.2496 | 4.6 | 460 | 0.3764 | |
|
| 0.218 | 4.8 | 480 | 0.3781 | |
|
| 0.219 | 5.0 | 500 | 0.3742 | |
|
| 0.2119 | 5.2 | 520 | 0.3808 | |
|
| 0.2435 | 5.4 | 540 | 0.3871 | |
|
| 0.2331 | 5.6 | 560 | 0.3818 | |
|
| 0.1738 | 5.8 | 580 | 0.3758 | |
|
| 0.1772 | 6.0 | 600 | 0.3731 | |
|
| 0.1607 | 6.2 | 620 | 0.4121 | |
|
| 0.1942 | 6.4 | 640 | 0.3943 | |
|
| 0.2312 | 6.6 | 660 | 0.3867 | |
|
| 0.1528 | 6.8 | 680 | 0.4160 | |
|
| 0.1155 | 7.0 | 700 | 0.4100 | |
|
| 0.1495 | 7.2 | 720 | 0.4081 | |
|
| 0.1674 | 7.4 | 740 | 0.4015 | |
|
| 0.1849 | 7.6 | 760 | 0.4075 | |
|
| 0.1231 | 7.8 | 780 | 0.4238 | |
|
| 0.0905 | 8.0 | 800 | 0.4128 | |
|
| 0.1156 | 8.2 | 820 | 0.4278 | |
|
| 0.1628 | 8.4 | 840 | 0.4203 | |
|
| 0.1545 | 8.6 | 860 | 0.4219 | |
|
| 0.1236 | 8.8 | 880 | 0.4294 | |
|
| 0.0799 | 9.0 | 900 | 0.4224 | |
|
| 0.0991 | 9.2 | 920 | 0.4399 | |
|
| 0.1176 | 9.4 | 940 | 0.4350 | |
|
| 0.1711 | 9.6 | 960 | 0.4362 | |
|
| 0.1106 | 9.8 | 980 | 0.4414 | |
|
| 0.0582 | 10.0 | 1000 | 0.4372 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.4.0 |
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
