---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 459779f2-cbce-4ec0-b11c-1dcdf92498d8
  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
base_model: Qwen/Qwen2-0.5B
batch_size: 32
bf16: true
chat_template: tokenizer_default_fallback_alpaca
datasets:
- data_files:
  - 745d2d05aaed18f4_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/745d2d05aaed18f4_train_data.json
  type:
    field_input: pos
    field_instruction: task
    field_output: query
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
eval_steps: 20
flash_attention: true
gpu_memory_limit: 80GiB
gradient_checkpointing: true
group_by_length: true
hub_model_id: willtensora/459779f2-cbce-4ec0-b11c-1dcdf92498d8
hub_strategy: checkpoint
learning_rate: 0.0002
logging_steps: 10
lr_scheduler: cosine
max_steps: 2500
micro_batch_size: 4
model_type: AutoModelForCausalLM
optimizer: adamw_bnb_8bit
output_dir: /workspace/axolotl/configs
pad_to_sequence_len: true
resize_token_embeddings_to_32x: false
sample_packing: false
save_steps: 40
save_total_limit: 1
sequence_len: 2048
tokenizer_type: Qwen2TokenizerFast
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.1
wandb_entity: ''
wandb_mode: online
wandb_name: Qwen/Qwen2-0.5B-/workspace/input_data/745d2d05aaed18f4_train_data.json
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_ratio: 0.05
xformers_attention: true

```

</details><br>

# 459779f2-cbce-4ec0-b11c-1dcdf92498d8

This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co./Qwen/Qwen2-0.5B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4560

## 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- 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: 14
- training_steps: 291

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0004 | 1    | 3.9660          |
| 2.8207        | 0.0086 | 20   | 3.1038          |
| 3.1247        | 0.0172 | 40   | 3.0989          |
| 2.9411        | 0.0258 | 60   | 2.8986          |
| 2.9915        | 0.0344 | 80   | 2.8742          |
| 2.8038        | 0.0430 | 100  | 2.8405          |
| 2.8518        | 0.0516 | 120  | 2.7728          |
| 2.7079        | 0.0602 | 140  | 2.6985          |
| 2.6076        | 0.0688 | 160  | 2.6416          |
| 2.6172        | 0.0774 | 180  | 2.5695          |
| 2.552         | 0.0860 | 200  | 2.5151          |
| 2.5036        | 0.0946 | 220  | 2.4783          |
| 2.4887        | 0.1032 | 240  | 2.4610          |
| 2.4008        | 0.1118 | 260  | 2.4569          |
| 2.424         | 0.1204 | 280  | 2.4560          |


### Framework versions

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