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: firsttestmodel
  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: `0.3.0`
```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: Delosint/firsttestmodel

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>

# firsttestmodel

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: 0.3784

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3474        | 0.01  | 1    | 0.4985          |
| 0.3136        | 0.03  | 4    | 0.4987          |
| 0.2984        | 0.07  | 8    | 0.4984          |
| 0.4396        | 0.1   | 12   | 0.4979          |
| 0.3686        | 0.14  | 16   | 0.4963          |
| 0.3355        | 0.17  | 20   | 0.4918          |
| 0.429         | 0.21  | 24   | 0.4814          |
| 0.4015        | 0.24  | 28   | 0.4635          |
| 0.3275        | 0.28  | 32   | 0.4446          |
| 0.2563        | 0.31  | 36   | 0.4285          |
| 0.3785        | 0.35  | 40   | 0.4177          |
| 0.2965        | 0.38  | 44   | 0.4109          |
| 0.2679        | 0.42  | 48   | 0.4027          |
| 0.2457        | 0.45  | 52   | 0.3961          |
| 0.3267        | 0.48  | 56   | 0.3915          |
| 0.2899        | 0.52  | 60   | 0.3879          |
| 0.1844        | 0.55  | 64   | 0.3881          |
| 0.2586        | 0.59  | 68   | 0.3869          |
| 0.3105        | 0.62  | 72   | 0.3837          |
| 0.3795        | 0.66  | 76   | 0.3819          |
| 0.2062        | 0.69  | 80   | 0.3792          |
| 0.3173        | 0.73  | 84   | 0.3792          |
| 0.2307        | 0.76  | 88   | 0.3766          |
| 0.2821        | 0.8   | 92   | 0.3747          |
| 0.2716        | 0.83  | 96   | 0.3736          |
| 0.2945        | 0.87  | 100  | 0.3724          |
| 0.2312        | 0.9   | 104  | 0.3712          |
| 0.2475        | 0.94  | 108  | 0.3715          |
| 0.2301        | 0.97  | 112  | 0.3716          |
| 0.2029        | 1.0   | 116  | 0.3713          |
| 0.264         | 1.02  | 120  | 0.3707          |
| 0.2477        | 1.05  | 124  | 0.3726          |
| 0.1987        | 1.09  | 128  | 0.3683          |
| 0.2305        | 1.12  | 132  | 0.3675          |
| 0.1542        | 1.16  | 136  | 0.3683          |
| 0.1954        | 1.19  | 140  | 0.3696          |
| 0.2245        | 1.23  | 144  | 0.3676          |
| 0.1973        | 1.26  | 148  | 0.3690          |
| 0.1482        | 1.29  | 152  | 0.3704          |
| 0.2861        | 1.33  | 156  | 0.3704          |
| 0.2825        | 1.36  | 160  | 0.3699          |
| 0.2489        | 1.4   | 164  | 0.3683          |
| 0.2053        | 1.43  | 168  | 0.3687          |
| 0.1664        | 1.47  | 172  | 0.3697          |
| 0.2351        | 1.5   | 176  | 0.3692          |
| 0.2673        | 1.54  | 180  | 0.3674          |
| 0.2567        | 1.57  | 184  | 0.3662          |
| 0.1764        | 1.61  | 188  | 0.3669          |
| 0.2437        | 1.64  | 192  | 0.3661          |
| 0.2143        | 1.68  | 196  | 0.3669          |
| 0.2085        | 1.71  | 200  | 0.3646          |
| 0.2415        | 1.74  | 204  | 0.3634          |
| 0.1899        | 1.78  | 208  | 0.3633          |
| 0.2752        | 1.81  | 212  | 0.3629          |
| 0.2529        | 1.85  | 216  | 0.3604          |
| 0.2462        | 1.88  | 220  | 0.3603          |
| 0.2511        | 1.92  | 224  | 0.3604          |
| 0.2749        | 1.95  | 228  | 0.3598          |
| 0.2161        | 1.99  | 232  | 0.3593          |
| 0.3901        | 2.02  | 236  | 0.3591          |
| 0.2167        | 2.03  | 240  | 0.3621          |
| 0.1812        | 2.07  | 244  | 0.3709          |
| 0.297         | 2.1   | 248  | 0.3782          |
| 0.2031        | 2.14  | 252  | 0.3752          |
| 0.139         | 2.17  | 256  | 0.3707          |
| 0.2033        | 2.21  | 260  | 0.3704          |
| 0.2495        | 2.24  | 264  | 0.3720          |
| 0.1739        | 2.28  | 268  | 0.3746          |
| 0.1681        | 2.31  | 272  | 0.3761          |
| 0.1923        | 2.35  | 276  | 0.3763          |
| 0.2174        | 2.38  | 280  | 0.3780          |
| 0.1989        | 2.42  | 284  | 0.3786          |
| 0.1443        | 2.45  | 288  | 0.3777          |
| 0.1682        | 2.48  | 292  | 0.3773          |
| 0.1814        | 2.52  | 296  | 0.3771          |
| 0.1655        | 2.55  | 300  | 0.3774          |
| 0.1533        | 2.59  | 304  | 0.3772          |
| 0.2995        | 2.62  | 308  | 0.3770          |
| 0.1535        | 2.66  | 312  | 0.3777          |
| 0.1876        | 2.69  | 316  | 0.3782          |
| 0.1866        | 2.73  | 320  | 0.3781          |
| 0.1719        | 2.76  | 324  | 0.3783          |
| 0.2005        | 2.8   | 328  | 0.3785          |
| 0.2659        | 2.83  | 332  | 0.3785          |
| 0.2045        | 2.87  | 336  | 0.3784          |
| 0.2695        | 2.9   | 340  | 0.3783          |
| 0.1407        | 2.94  | 344  | 0.3784          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0