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Model: graf/Qwen3-4B-SFT-science-1e-5
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen3-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Qwen3-4B-SFT-science-1e-5
+  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. -->
+
+# Qwen3-4B-SFT-science-1e-5
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the dolci_science_train dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6778
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8065        | 0.2985 | 230  | 0.7250          |
+| 0.6763        | 0.5969 | 460  | 0.7040          |
+| 0.7030        | 0.8954 | 690  | 0.6914          |
+| 0.6122        | 1.1933 | 920  | 0.6877          |
+| 0.6361        | 1.4918 | 1150 | 0.6827          |
+| 0.6499        | 1.7903 | 1380 | 0.6778          |
+| 0.5879        | 2.0882 | 1610 | 0.6838          |
+| 0.5390        | 2.3867 | 1840 | 0.6826          |
+| 0.6058        | 2.6852 | 2070 | 0.6820          |
+| 0.6097        | 2.9836 | 2300 | 0.6816          |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2