5d5e560dae
Model: huseyinatahaninan/appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507 Source: Original Platform
75 lines
2.1 KiB
Markdown
75 lines
2.1 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-4B-Instruct-2507
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507
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This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on the appworld_distillation_sft dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2588
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9102 | 1.0 | 2 | 0.8434 |
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| 0.6723 | 2.0 | 4 | 0.4704 |
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| 0.3556 | 3.0 | 6 | 0.3564 |
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| 0.3261 | 4.0 | 8 | 0.3239 |
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| 0.2697 | 5.0 | 10 | 0.2971 |
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| 0.2508 | 6.0 | 12 | 0.2797 |
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| 0.225 | 7.0 | 14 | 0.2676 |
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| 0.2327 | 8.0 | 16 | 0.2617 |
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| 0.2064 | 9.0 | 18 | 0.2594 |
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| 0.22 | 10.0 | 20 | 0.2588 |
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.8.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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