5d5e560dae
Model: huseyinatahaninan/appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507 Source: Original Platform
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | Qwen/Qwen3-4B-Instruct-2507 |
|
|
appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on the appworld_distillation_sft dataset. It achieves the following results on the evaluation set:
- Loss: 0.2588
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9102 | 1.0 | 2 | 0.8434 |
| 0.6723 | 2.0 | 4 | 0.4704 |
| 0.3556 | 3.0 | 6 | 0.3564 |
| 0.3261 | 4.0 | 8 | 0.3239 |
| 0.2697 | 5.0 | 10 | 0.2971 |
| 0.2508 | 6.0 | 12 | 0.2797 |
| 0.225 | 7.0 | 14 | 0.2676 |
| 0.2327 | 8.0 | 16 | 0.2617 |
| 0.2064 | 9.0 | 18 | 0.2594 |
| 0.22 | 10.0 | 20 | 0.2588 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1