File size: 4,460 Bytes

---

library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B
tags:
- axolotl
- generated_from_trainer
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
model-index:
- name: b85a4e3d-93c8-46f3-92a5-8e718064e026
  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: Qwen/Qwen2.5-1.5B

bf16: auto

chat_template: llama3

cosine_min_lr_ratio: 0.1

data_processes: 4

dataset_prepared_path: null

datasets:

- data_files:

  - b69b8f2576840a57_train_data.json

  ds_type: json

  format: custom

  num_proc: 4

  path: /workspace/input_data/b69b8f2576840a57_train_data.json

  streaming: true

  type:

    field_input: student_answer

    field_instruction: question

    field_output: reference_answer

    format: '{instruction} {input}'

    no_input_format: '{instruction}'

    system_format: '{system}'

    system_prompt: ''

debug: null

deepspeed: null

device_map: balanced

do_eval: true

early_stopping_patience: 1

eval_batch_size: 1

eval_sample_packing: false

eval_steps: 25

evaluation_strategy: steps

flash_attention: false

fp16: null

fsdp: null

fsdp_config: null

gradient_accumulation_steps: 16

gradient_checkpointing: true

group_by_length: true

hub_model_id: eeeebbb2/b85a4e3d-93c8-46f3-92a5-8e718064e026

hub_strategy: checkpoint

hub_token: null

learning_rate: 0.0001

load_in_4bit: false

load_in_8bit: false

local_rank: null

logging_steps: 1

lora_alpha: 64

lora_dropout: 0.05

lora_fan_in_fan_out: null

lora_model_dir: null

lora_r: 32

lora_target_linear: true

lora_target_modules:

- q_proj

- v_proj

lr_scheduler: cosine

max_grad_norm: 1.0

max_memory:

  0: 75GB

  1: 75GB

  2: 75GB

  3: 75GB

max_steps: 50

micro_batch_size: 2

mixed_precision: bf16

mlflow_experiment_name: /tmp/b69b8f2576840a57_train_data.json

model_type: AutoModelForCausalLM

num_epochs: 3

optim_args:

  adam_beta1: 0.9

  adam_beta2: 0.95

  adam_epsilon: 1e-5

optimizer: adamw_torch

output_dir: miner_id_24

pad_to_sequence_len: true

resume_from_checkpoint: null

s2_attention: null

sample_packing: false

save_steps: 25

save_strategy: steps

sequence_len: 2048

strict: false

tf32: false

tokenizer_type: AutoTokenizer

torch_compile: false

train_on_inputs: false

trust_remote_code: true

val_set_size: 50

wandb_entity: null

wandb_mode: online

wandb_name: b85a4e3d-93c8-46f3-92a5-8e718064e026

wandb_project: Public_TuningSN

wandb_runid: b85a4e3d-93c8-46f3-92a5-8e718064e026

warmup_ratio: 0.04

weight_decay: 0.01

xformers_attention: null



```

</details><br>

# b85a4e3d-93c8-46f3-92a5-8e718064e026

This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1482

## 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: 2

- eval_batch_size: 1

- seed: 42

- distributed_type: multi-GPU
- num_devices: 4

- gradient_accumulation_steps: 16

- total_train_batch_size: 128
- total_eval_batch_size: 4

- optimizer: Use OptimizerNames.ADAMW_TORCH 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: cosine
- lr_scheduler_warmup_steps: 2

- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.424         | 0.0264 | 1    | 3.6234          |
| 0.5879        | 0.6590 | 25   | 0.5001          |
| 0.0639        | 1.3410 | 50   | 0.1482          |


### Framework versions

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