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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-4B-Base
tags:
- generated_from_trainer
datasets:
- winglian/OpenThoughts-114k-math-correct-qwen3-14b-math-prepared-temp1
model-index:
- name: outputs/out-kd-4b-offline-t1
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: `0.10.0.dev0`
```yaml
base_model: Qwen/Qwen3-4B-Base
# base_model: winglian/qwen3-14b-math
plugins:
- axolotl.integrations.kd.KDPlugin
- axolotl.integrations.liger.LigerPlugin
liger_rms_norm: true
liger_glu_activation: true
# torch_compile: true
strict: false
kd_trainer: true
kd_ce_alpha: 0.1
kd_alpha: 1.0
kd_temperature: 1.0
kd_beta: 0.5
kd_normalize_topk: false
dataloader_prefetch_factor: 1
dataloader_num_workers: 2
dataloader_pin_memory: true
gc_steps: -1 # gc at the end of each epoch
chat_template: qwen3
datasets:
- path: winglian/OpenThoughts-114k-math-correct-qwen3-14b-math-prepared-temp1
type: chat_template
split: train
split_thinking: true
eot_tokens:
- "<|im_end|>"
skip_prepare_dataset: true
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./outputs/out-kd-4b-offline-t1
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
wandb_project: kd-4b-math
wandb_entity: axolotl-ai
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 2
optimizer: adamw_torch_fused
adam_beta2: 0.95
lr_scheduler: rex
learning_rate: 3e-5
max_grad_norm: 0.2
save_safetensors: true
bf16: true
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
logging_steps: 1
flash_attention: true
warmup_steps: 100
evals_per_epoch: 4
saves_per_epoch: 2
debug:
weight_decay: 0.0
special_tokens:
eos_token: <|im_end|>
deepspeed: deepspeed_configs/zero2_torch_compile.json
```
</details><br>
# outputs/out-kd-4b-offline-t1
This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base) on the winglian/OpenThoughts-114k-math-correct-qwen3-14b-math-prepared-temp1 dataset.
## 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: 3e-05
- 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_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2.0
### Training results
### Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.1
- Tokenizers 0.21.1
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