peft safetensors llama axolotl generated_from_trainer base_model:codellama/CodeLlama-7b-hf license:llama2 region:us
---
license: llama2
library_name: peft
tags:
- axolotl
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: EvolCodeLlama-JS-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: `0.3.0`
```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: EvolCodeLlama-JS-7b

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: harryng4869/Evol-Instruct-JS-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-JS-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: 0.2897

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4099        | 0.02  | 1    | 0.4313          |
| 0.5677        | 0.04  | 2    | 0.4313          |
| 0.4255        | 0.08  | 4    | 0.4315          |
| 0.4352        | 0.12  | 6    | 0.4312          |
| 0.4457        | 0.17  | 8    | 0.4312          |
| 0.4705        | 0.21  | 10   | 0.4309          |
| 0.4492        | 0.25  | 12   | 0.4303          |
| 0.5233        | 0.29  | 14   | 0.4294          |
| 0.3795        | 0.33  | 16   | 0.4275          |
| 0.456         | 0.37  | 18   | 0.4248          |
| 0.5132        | 0.41  | 20   | 0.4204          |
| 0.3543        | 0.46  | 22   | 0.4136          |
| 0.4132        | 0.5   | 24   | 0.4046          |
| 0.4219        | 0.54  | 26   | 0.3936          |
| 0.3956        | 0.58  | 28   | 0.3813          |
| 0.3587        | 0.62  | 30   | 0.3697          |
| 0.409         | 0.66  | 32   | 0.3587          |
| 0.3093        | 0.7   | 34   | 0.3483          |
| 0.3717        | 0.75  | 36   | 0.3407          |
| 0.3357        | 0.79  | 38   | 0.3345          |
| 0.2912        | 0.83  | 40   | 0.3289          |
| 0.3171        | 0.87  | 42   | 0.3243          |
| 0.3368        | 0.91  | 44   | 0.3210          |
| 0.3906        | 0.95  | 46   | 0.3180          |
| 0.3491        | 0.99  | 48   | 0.3159          |
| 0.274         | 1.02  | 50   | 0.3133          |
| 0.2474        | 1.06  | 52   | 0.3126          |
| 0.3236        | 1.1   | 54   | 0.3106          |
| 0.3327        | 1.14  | 56   | 0.3092          |
| 0.3153        | 1.18  | 58   | 0.3081          |
| 0.3809        | 1.22  | 60   | 0.3079          |
| 0.2792        | 1.26  | 62   | 0.3072          |
| 0.2465        | 1.31  | 64   | 0.3055          |
| 0.2831        | 1.35  | 66   | 0.3060          |
| 0.408         | 1.39  | 68   | 0.3064          |
| 0.2881        | 1.43  | 70   | 0.3045          |
| 0.2715        | 1.47  | 72   | 0.3018          |
| 0.2686        | 1.51  | 74   | 0.3008          |
| 0.3605        | 1.55  | 76   | 0.3008          |
| 0.2644        | 1.6   | 78   | 0.3002          |
| 0.3479        | 1.64  | 80   | 0.2990          |
| 0.2821        | 1.68  | 82   | 0.2983          |
| 0.3193        | 1.72  | 84   | 0.2980          |
| 0.2857        | 1.76  | 86   | 0.2969          |
| 0.2484        | 1.8   | 88   | 0.2965          |
| 0.236         | 1.84  | 90   | 0.2957          |
| 0.3554        | 1.89  | 92   | 0.2946          |
| 0.2968        | 1.93  | 94   | 0.2931          |
| 0.3792        | 1.97  | 96   | 0.2914          |
| 0.2574        | 2.01  | 98   | 0.2909          |
| 0.3192        | 2.02  | 100  | 0.2915          |
| 0.2519        | 2.06  | 102  | 0.2934          |
| 0.2165        | 2.1   | 104  | 0.2968          |
| 0.2499        | 2.14  | 106  | 0.2960          |
| 0.2243        | 2.18  | 108  | 0.2931          |
| 0.2523        | 2.22  | 110  | 0.2923          |
| 0.2644        | 2.26  | 112  | 0.2943          |
| 0.2048        | 2.31  | 114  | 0.2946          |
| 0.1853        | 2.35  | 116  | 0.2932          |
| 0.2441        | 2.39  | 118  | 0.2927          |
| 0.2494        | 2.43  | 120  | 0.2928          |
| 0.2184        | 2.47  | 122  | 0.2927          |
| 0.2376        | 2.51  | 124  | 0.2932          |
| 0.2496        | 2.55  | 126  | 0.2924          |
| 0.2029        | 2.6   | 128  | 0.2915          |
| 0.2602        | 2.64  | 130  | 0.2908          |
| 0.2137        | 2.68  | 132  | 0.2907          |
| 0.2617        | 2.72  | 134  | 0.2901          |
| 0.2532        | 2.76  | 136  | 0.2901          |
| 0.2743        | 2.8   | 138  | 0.2900          |
| 0.2181        | 2.84  | 140  | 0.2900          |
| 0.254         | 2.89  | 142  | 0.2899          |
| 0.2463        | 2.93  | 144  | 0.2897          |


### 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