---
library_name: peft
base_model: peft-internal-testing/tiny-dummy-qwen2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: test-09-01
  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: peft-internal-testing/tiny-dummy-qwen2
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - e42a4124494711a3_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/e42a4124494711a3_train_data.json
  type:
    field_instruction: question
    field_output: answer
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device_map: auto
do_eval: true
early_stopping_patience: 2
eval_batch_size: 4
eval_max_new_tokens: 128
eval_steps: 150
eval_table_size: null
evals_per_epoch: null
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: true
hub_model_id: baby-dev/test-09-01
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 50
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: linear
max_grad_norm: 1.0
max_memory:
  0: 75GB
max_steps: 18000
micro_batch_size: 4
mlflow_experiment_name: /tmp/e42a4124494711a3_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 50
optim_args:
  adam_beta1: 0.9
  adam_beta2: 0.95
  adam_epsilon: 1e-5
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 150
saves_per_epoch: null
sequence_len: 1024
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: a23f723a-3c20-47e9-8ceb-7bb7e8892670
wandb_project: SN56-2
wandb_run: your_name
wandb_runid: a23f723a-3c20-47e9-8ceb-7bb7e8892670
warmup_steps: 50
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# test-09-01

This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.8983

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 6007

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.0083  | 1    | 11.9304         |
| 12.1085       | 1.2474  | 150  | 11.9156         |
| 11.917        | 2.4948  | 300  | 11.9073         |
| 11.908        | 3.7422  | 450  | 11.9048         |
| 11.9016       | 4.9896  | 600  | 11.9026         |
| 12.0853       | 6.2370  | 750  | 11.9015         |
| 11.9024       | 7.4844  | 900  | 11.9007         |
| 11.8993       | 8.7318  | 1050 | 11.9006         |
| 11.9043       | 9.9792  | 1200 | 11.9003         |
| 12.0835       | 11.2266 | 1350 | 11.9001         |
| 11.8991       | 12.4740 | 1500 | 11.9000         |
| 11.8963       | 13.7214 | 1650 | 11.8995         |
| 11.8964       | 14.9688 | 1800 | 11.8992         |
| 12.0746       | 16.2162 | 1950 | 11.8992         |
| 11.8988       | 17.4636 | 2100 | 11.8993         |
| 11.9032       | 18.7110 | 2250 | 11.8992         |
| 11.9002       | 19.9584 | 2400 | 11.8991         |
| 12.0821       | 21.2058 | 2550 | 11.8989         |
| 11.9004       | 22.4532 | 2700 | 11.8986         |
| 11.9018       | 23.7006 | 2850 | 11.8985         |
| 11.8981       | 24.9480 | 3000 | 11.8982         |
| 12.0775       | 26.1954 | 3150 | 11.8983         |
| 11.8959       | 27.4428 | 3300 | 11.8982         |
| 11.8987       | 28.6902 | 3450 | 11.8982         |
| 11.901        | 29.9376 | 3600 | 11.8982         |
| 12.0734       | 31.1850 | 3750 | 11.8983         |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1