---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 12b3db6d-6d65-435d-8a25-2864637b169b
  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: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 5f268db15ffc7212_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/5f268db15ffc7212_train_data.json
  type:
    field_input: input
    field_instruction: instruction
    field_output: output
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 4
eval_max_new_tokens: 128
eval_steps: 150
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hub_model_id: Romain-XV/12b3db6d-6d65-435d-8a25-2864637b169b
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_best_model_at_end: true
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.3
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 64
lora_target_linear: true
lora_target_modules:
- q_proj
- k_proj
- v_proj
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: 5040
micro_batch_size: 2
mlflow_experiment_name: /tmp/5f268db15ffc7212_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
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
sequence_len: 1024
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.04469673266884191
wandb_entity: null
wandb_mode: online
wandb_name: e613d36b-a8a6-4953-9f33-ddca7d87fc98
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: e613d36b-a8a6-4953-9f33-ddca7d87fc98
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# 12b3db6d-6d65-435d-8a25-2864637b169b

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: 1.9663

## 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: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 5040

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.526         | 0.0001 | 1    | 2.4610          |
| 2.0932        | 0.0112 | 150  | 2.3241          |
| 1.9923        | 0.0225 | 300  | 2.2711          |
| 2.5518        | 0.0337 | 450  | 2.2464          |
| 2.2405        | 0.0449 | 600  | 2.2287          |
| 2.7935        | 0.0561 | 750  | 2.1983          |
| 2.1035        | 0.0674 | 900  | 2.1862          |
| 2.3212        | 0.0786 | 1050 | 2.1668          |
| 1.9817        | 0.0898 | 1200 | 2.1552          |
| 2.1509        | 0.1011 | 1350 | 2.1452          |
| 2.0084        | 0.1123 | 1500 | 2.1316          |
| 1.9503        | 0.1235 | 1650 | 2.1120          |
| 1.9088        | 0.1347 | 1800 | 2.0998          |
| 2.4338        | 0.1460 | 1950 | 2.0879          |
| 1.5782        | 0.1572 | 2100 | 2.0774          |
| 2.451         | 0.1684 | 2250 | 2.0680          |
| 2.1608        | 0.1797 | 2400 | 2.0558          |
| 1.9455        | 0.1909 | 2550 | 2.0448          |
| 1.9849        | 0.2021 | 2700 | 2.0360          |
| 2.1229        | 0.2134 | 2850 | 2.0262          |
| 2.0596        | 0.2246 | 3000 | 2.0166          |
| 2.0005        | 0.2358 | 3150 | 2.0094          |
| 2.5008        | 0.2470 | 3300 | 2.0030          |
| 1.951         | 0.2583 | 3450 | 1.9947          |
| 2.2078        | 0.2695 | 3600 | 1.9886          |
| 2.0641        | 0.2807 | 3750 | 1.9838          |
| 2.1594        | 0.2920 | 3900 | 1.9794          |
| 2.405         | 0.3032 | 4050 | 1.9754          |
| 1.5995        | 0.3144 | 4200 | 1.9723          |
| 1.9719        | 0.3256 | 4350 | 1.9696          |
| 1.6564        | 0.3369 | 4500 | 1.9680          |
| 1.5252        | 0.3481 | 4650 | 1.9671          |
| 1.5916        | 0.3593 | 4800 | 1.9666          |
| 1.7533        | 0.3706 | 4950 | 1.9663          |


### Framework versions

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