---
library_name: transformers
base_model: peft-internal-testing/tiny-dummy-qwen2
tags:
- axolotl
- generated_from_trainer
datasets:
- argilla/databricks-dolly-15k-curated-en
model-index:
- name: tiny-dummy-qwen2
  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: `0.6.0`
```yaml
base_model: peft-internal-testing/tiny-dummy-qwen2
batch_size: 32
bf16: true
chat_template: tokenizer_default_fallback_alpaca
datasets:
- format: custom
  path: argilla/databricks-dolly-15k-curated-en
  type:
    field_input: original-instruction
    field_instruction: original-instruction
    field_output: original-response
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
device_map: auto
eval_sample_packing: false
eval_steps: 200
flash_attention: true
gpu_memory_limit: 80GiB
group_by_length: true
hub_model_id: SystemAdmin123/tiny-dummy-qwen2
hub_strategy: checkpoint
learning_rate: 0.0002
logging_steps: 10
lr_scheduler: cosine
max_steps: 2500
micro_batch_size: 4
model_type: AutoModelForCausalLM
num_epochs: 100
optimizer: adamw_bnb_8bit
output_dir: /root/.sn56/axolotl/outputs/tiny-dummy-qwen2
pad_to_sequence_len: true
resize_token_embeddings_to_32x: false
sample_packing: false
save_steps: 400
save_total_limit: 1
sequence_len: 2048
tokenizer_type: Qwen2TokenizerFast
torch_dtype: bf16
trust_remote_code: true
val_set_size: 0.1
wandb_entity: ''
wandb_mode: online
wandb_name: peft-internal-testing/tiny-dummy-qwen2-argilla/databricks-dolly-15k-curated-en
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_ratio: 0.05

```

</details><br>

# tiny-dummy-qwen2

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 argilla/databricks-dolly-15k-curated-en dataset.
It achieves the following results on the evaluation set:
- Loss: 10.5858

## 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
- 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: 125
- training_steps: 2500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0003 | 1    | 11.9292         |
| 11.78         | 0.0592 | 200  | 11.7501         |
| 10.974        | 0.1184 | 400  | 11.0010         |
| 10.6928       | 0.1776 | 600  | 10.6858         |
| 10.9148       | 0.2368 | 800  | 10.6098         |
| 10.6606       | 0.2959 | 1000 | 10.5931         |
| 10.5748       | 0.3551 | 1200 | 10.5911         |
| 10.6436       | 0.4143 | 1400 | 10.5852         |
| 10.5774       | 0.4735 | 1600 | 10.5880         |
| 10.707        | 0.5327 | 1800 | 10.5812         |
| 10.5304       | 0.5919 | 2000 | 10.5866         |
| 10.6148       | 0.6511 | 2200 | 10.5842         |
| 10.4931       | 0.7103 | 2400 | 10.5858         |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.4.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0