peft safetensors llama axolotl generated_from_trainer base_model:codellama/CodeLlama-7b-hf license:llama2 4-bit bitsandbytes region:us
---
license: llama2
library_name: peft
tags:
- axolotl
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: EvolCodeLlama-7b
  results: []
---

<!-- 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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.0`
```yaml
base_model: codellama/CodeLlama-7b-hf
base_model_config: codellama/CodeLlama-7b-hf
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
is_llama_derived_model: true
hub_model_id: EvolCodeLlama-7b

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: mlabonne/Evol-Instruct-Python-1k
    type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.02
output_dir: ./qlora-out

adapter: qlora
lora_model_dir:

sequence_len: 2048
sample_packing: true

lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:

wandb_project: axolotl
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 3
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 0.0002

train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 100
eval_steps: 0.01
save_strategy: epoch
save_steps:
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"
```

</details><br>

# EvolCodeLlama-7b

This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3796

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3178        | 0.01  | 1    | 0.5311          |
| 0.3147        | 0.03  | 4    | 0.5312          |
| 0.3626        | 0.07  | 8    | 0.5310          |
| 0.6265        | 0.1   | 12   | 0.5296          |
| 0.429         | 0.14  | 16   | 0.5270          |
| 0.5086        | 0.17  | 20   | 0.5205          |
| 0.4335        | 0.21  | 24   | 0.5067          |
| 0.3383        | 0.24  | 28   | 0.4842          |
| 0.3688        | 0.28  | 32   | 0.4603          |
| 0.2528        | 0.31  | 36   | 0.4403          |
| 0.3105        | 0.35  | 40   | 0.4251          |
| 0.4936        | 0.38  | 44   | 0.4162          |
| 0.4146        | 0.42  | 48   | 0.4086          |
| 0.3327        | 0.45  | 52   | 0.4024          |
| 0.3429        | 0.48  | 56   | 0.3971          |
| 0.3328        | 0.52  | 60   | 0.3937          |
| 0.1844        | 0.55  | 64   | 0.3901          |
| 0.3001        | 0.59  | 68   | 0.3887          |
| 0.3632        | 0.62  | 72   | 0.3872          |
| 0.1997        | 0.66  | 76   | 0.3847          |
| 0.2461        | 0.69  | 80   | 0.3823          |
| 0.2865        | 0.73  | 84   | 0.3812          |
| 0.26          | 0.76  | 88   | 0.3805          |
| 0.3191        | 0.8   | 92   | 0.3792          |
| 0.4642        | 0.83  | 96   | 0.3763          |
| 0.2649        | 0.87  | 100  | 0.3750          |
| 0.2095        | 0.9   | 104  | 0.3727          |
| 0.2738        | 0.94  | 108  | 0.3737          |
| 0.4274        | 0.97  | 112  | 0.3730          |
| 0.2722        | 1.0   | 116  | 0.3724          |
| 0.2164        | 1.02  | 120  | 0.3705          |
| 0.1549        | 1.05  | 124  | 0.3726          |
| 0.3051        | 1.08  | 128  | 0.3725          |
| 0.1873        | 1.12  | 132  | 0.3730          |
| 0.3388        | 1.15  | 136  | 0.3738          |
| 0.2504        | 1.19  | 140  | 0.3741          |
| 0.2851        | 1.22  | 144  | 0.3714          |
| 0.2365        | 1.26  | 148  | 0.3690          |
| 0.3986        | 1.29  | 152  | 0.3699          |
| 0.1913        | 1.33  | 156  | 0.3720          |
| 0.1963        | 1.36  | 160  | 0.3698          |
| 0.1824        | 1.4   | 164  | 0.3679          |
| 0.1453        | 1.43  | 168  | 0.3685          |
| 0.3073        | 1.47  | 172  | 0.3702          |
| 0.1501        | 1.5   | 176  | 0.3692          |
| 0.2167        | 1.53  | 180  | 0.3662          |
| 0.3007        | 1.57  | 184  | 0.3660          |
| 0.2203        | 1.6   | 188  | 0.3666          |
| 0.3978        | 1.64  | 192  | 0.3669          |
| 0.2397        | 1.67  | 196  | 0.3663          |
| 0.2161        | 1.71  | 200  | 0.3656          |
| 0.2593        | 1.74  | 204  | 0.3651          |
| 0.2113        | 1.78  | 208  | 0.3658          |
| 0.2435        | 1.81  | 212  | 0.3657          |
| 0.2625        | 1.85  | 216  | 0.3639          |
| 0.302         | 1.88  | 220  | 0.3624          |
| 0.2556        | 1.92  | 224  | 0.3611          |
| 0.2063        | 1.95  | 228  | 0.3609          |
| 0.1994        | 1.98  | 232  | 0.3612          |
| 0.2229        | 2.02  | 236  | 0.3613          |
| 0.1983        | 2.03  | 240  | 0.3634          |
| 0.1925        | 2.06  | 244  | 0.3725          |
| 0.1778        | 2.1   | 248  | 0.3832          |
| 0.1293        | 2.13  | 252  | 0.3834          |
| 0.2166        | 2.16  | 256  | 0.3789          |
| 0.2082        | 2.2   | 260  | 0.3760          |
| 0.1858        | 2.23  | 264  | 0.3761          |
| 0.1862        | 2.27  | 268  | 0.3763          |
| 0.1619        | 2.3   | 272  | 0.3783          |
| 0.174         | 2.34  | 276  | 0.3786          |
| 0.2414        | 2.37  | 280  | 0.3790          |
| 0.1977        | 2.41  | 284  | 0.3783          |
| 0.1678        | 2.44  | 288  | 0.3784          |
| 0.2263        | 2.48  | 292  | 0.3786          |
| 0.082         | 2.51  | 296  | 0.3783          |
| 0.2621        | 2.55  | 300  | 0.3784          |
| 0.1754        | 2.58  | 304  | 0.3795          |
| 0.1957        | 2.61  | 308  | 0.3802          |
| 0.1203        | 2.65  | 312  | 0.3803          |
| 0.1388        | 2.68  | 316  | 0.3796          |
| 0.1699        | 2.72  | 320  | 0.3796          |
| 0.161         | 2.75  | 324  | 0.3796          |
| 0.2394        | 2.79  | 328  | 0.3792          |
| 0.1465        | 2.82  | 332  | 0.3795          |
| 0.1746        | 2.86  | 336  | 0.3794          |
| 0.1839        | 2.89  | 340  | 0.3795          |
| 0.1581        | 2.93  | 344  | 0.3796          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.17.1
- Tokenizers 0.15.0