---
library_name: peft
base_model: peft-internal-testing/tiny-dummy-qwen2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4e03c89a-8b75-498e-b418-baeb044e5bd5
  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: qlora
base_model: peft-internal-testing/tiny-dummy-qwen2
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - cfeccc189e92571d_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/cfeccc189e92571d_train_data.json
  type:
    field_instruction: startphrase
    field_output: gold-ending
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 200
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 64
gradient_checkpointing: true
group_by_length: true
hub_model_id: error577/4e03c89a-8b75-498e-b418-baeb044e5bd5
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: true
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.15
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 64
lora_target_linear: true
lr_scheduler: constant_with_warmup
micro_batch_size: 4
mlflow_experiment_name: /tmp/cfeccc189e92571d_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: adamw_torch_fused
output_dir: miner_id_24
pad_to_sequence_len: true
restore_best_weights: true
auto_resume_from_checkpoints: true
s2_attention: null
sample_packing: false
save_steps: 200
sequence_len: 1024
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.005
wandb_entity: null
wandb_mode: online
wandb_name: 85f02ab3-c5bc-4ce0-94a6-aae2ba376e08
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 85f02ab3-c5bc-4ce0-94a6-aae2ba376e08
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# 4e03c89a-8b75-498e-b418-baeb044e5bd5

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: 11.8905

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 11.9295       | 0.0003 | 1    | 11.9293         |
| 11.8831       | 0.0695 | 200  | 11.8963         |
| 11.8873       | 0.1390 | 400  | 11.8939         |
| 11.8841       | 0.2085 | 600  | 11.8926         |
| 11.8756       | 0.2780 | 800  | 11.8919         |
| 11.8757       | 0.3475 | 1000 | 11.8918         |
| 11.8828       | 0.4170 | 1200 | 11.8915         |
| 11.884        | 0.4865 | 1400 | 11.8916         |
| 11.8848       | 0.5560 | 1600 | 11.8913         |
| 11.8737       | 0.6255 | 1800 | 11.8904         |
| 11.8768       | 0.6950 | 2000 | 11.8906         |
| 11.8752       | 0.7645 | 2200 | 11.8906         |
| 11.8774       | 0.8340 | 2400 | 11.8901         |
| 11.8759       | 0.9035 | 2600 | 11.8900         |
| 11.8754       | 0.9730 | 2800 | 11.8900         |
| 11.8156       | 1.0425 | 3000 | 11.8901         |
| 11.7092       | 1.1120 | 3200 | 11.8905         |


### Framework versions

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