---
base_model: mistralai/Mistral-7B-Instruct-v0.2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetune/outputs/gas-west
  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: `0.4.1`
```yaml
base_model: mistralai/Mistral-7B-Instruct-v0.2
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: true
strict: false

chat_template: chatml
datasets:
  - path: Howard881010/gas-west
    type: alpaca
    train_on_split: train
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./finetune/outputs/gas-west

adapter: qlora
lora_model_dir:

sequence_len: 1200
sample_packing: false
pad_to_sequence_len: 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: finetune
wandb_entity:
wandb_watch:
wandb_name: gas-west
wandb_log_model:

gradient_accumulation_steps: 2
micro_batch_size: 1
num_epochs: 10
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 0.0002

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

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

warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
# For finetune
seed: 42

```

</details><br>

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://rosewandb.ucsd.edu/cht028/finetune/runs/5y7pxhrx)
# finetune/outputs/gas-west

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003

## 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: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.4517        | 0.0022 | 1    | 1.3369          |
| 0.6431        | 0.2508 | 114  | 0.6256          |
| 0.3998        | 0.5017 | 228  | 0.4131          |
| 0.1741        | 0.7525 | 342  | 0.2322          |
| 0.0913        | 1.0033 | 456  | 0.1268          |
| 0.0679        | 1.2541 | 570  | 0.0809          |
| 0.0503        | 1.5050 | 684  | 0.0605          |
| 0.0476        | 1.7558 | 798  | 0.0484          |
| 0.0084        | 2.0066 | 912  | 0.0417          |
| 0.0273        | 2.2574 | 1026 | 0.0410          |
| 0.0296        | 2.5083 | 1140 | 0.0384          |
| 0.0317        | 2.7591 | 1254 | 0.0344          |
| 0.0086        | 3.0099 | 1368 | 0.0268          |
| 0.0076        | 3.2607 | 1482 | 0.0224          |
| 0.0043        | 3.5116 | 1596 | 0.0206          |
| 0.0085        | 3.7624 | 1710 | 0.0127          |
| 0.0071        | 4.0132 | 1824 | 0.0081          |
| 0.002         | 4.2640 | 1938 | 0.0053          |
| 0.0028        | 4.5149 | 2052 | 0.0034          |
| 0.0007        | 4.7657 | 2166 | 0.0016          |
| 0.0003        | 5.0165 | 2280 | 0.0008          |
| 0.0002        | 5.2673 | 2394 | 0.0005          |
| 0.0002        | 5.5182 | 2508 | 0.0004          |
| 0.0001        | 5.7690 | 2622 | 0.0004          |
| 0.0001        | 6.0198 | 2736 | 0.0004          |
| 0.0001        | 6.2706 | 2850 | 0.0004          |
| 0.0001        | 6.5215 | 2964 | 0.0004          |
| 0.0001        | 6.7723 | 3078 | 0.0004          |
| 0.0001        | 7.0231 | 3192 | 0.0004          |
| 0.0001        | 7.2739 | 3306 | 0.0004          |
| 0.0001        | 7.5248 | 3420 | 0.0004          |
| 0.0001        | 7.7756 | 3534 | 0.0004          |
| 0.0002        | 8.0264 | 3648 | 0.0004          |
| 0.0002        | 8.2772 | 3762 | 0.0003          |
| 0.0001        | 8.5281 | 3876 | 0.0004          |
| 0.0001        | 8.7789 | 3990 | 0.0003          |
| 0.0002        | 9.0297 | 4104 | 0.0003          |
| 0.0001        | 9.2805 | 4218 | 0.0003          |
| 0.0001        | 9.5314 | 4332 | 0.0004          |
| 0.0001        | 9.7822 | 4446 | 0.0003          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.43.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1