---
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: Qwen2-0.5B-Abyme
  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: null
base_model: Qwen/Qwen2-0.5B
bf16: auto
chat_template: chatml
dataset_prepared_path: ./data/last_run_prepared
datasets:
- path: Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered
  type: sharegpt
deepspeed: null
early_stopping_patience: null
eval_sample_packing: true
evals_per_epoch: 4
flash_attention: true
fp16: null
fsdp: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
group_by_length: false
hf_use_auth_token: true
hub_model_id: CoolSpring/Qwen2-0.5B-Abyme
learning_rate: 2e-5
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lr_scheduler: cosine
micro_batch_size: 4
num_epochs: 1
optimizer: adamw_torch
output_dir: ./outputs/out
pad_to_sequence_len: true
resize_token_embeddings_to_32x: true
resume_from_checkpoint: null
sample_packing: true
saves_per_epoch: 1
sequence_len: 4096
tf32: true
tokens:
- <|im_start|>
- <|im_end|>
train_on_inputs: false
val_set_size: 0.05
wandb_entity: null
wandb_log_model: null
wandb_name: Qwen2-0.5B-Abyme
wandb_project: Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered
wandb_watch: null
warmup_steps: 100
weight_decay: null
xformers_attention: null

```

</details><br>

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/coolspring-none/Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered/runs/qcne24ii)
# Qwen2-0.5B-Abyme

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: 0.8229

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9947        | 0.0004 | 1    | 0.9683          |
| 0.8385        | 0.2501 | 597  | 0.8338          |
| 0.7636        | 0.5002 | 1194 | 0.8249          |
| 0.8124        | 0.7502 | 1791 | 0.8229          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1