73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen3-1.7B
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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: Qwen3-1.7B-SFT-science-2e-5
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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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# Qwen3-1.7B-SFT-science-2e-5
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This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on the dolci_science_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7464
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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: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 64
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_steps: 0.05
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9187 | 0.2985 | 230 | 0.8187 |
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| 0.7641 | 0.5970 | 460 | 0.7886 |
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| 0.7856 | 0.8954 | 690 | 0.7687 |
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| 0.6880 | 1.1934 | 920 | 0.7622 |
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| 0.7079 | 1.4918 | 1150 | 0.7541 |
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| 0.7302 | 1.7903 | 1380 | 0.7464 |
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| 0.6540 | 2.0882 | 1610 | 0.7521 |
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| 0.6004 | 2.3867 | 1840 | 0.7504 |
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| 0.6712 | 2.6852 | 2070 | 0.7492 |
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| 0.6775 | 2.9837 | 2300 | 0.7490 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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