78 lines
2.3 KiB
Markdown
78 lines
2.3 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-1.7B
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tags:
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- generated_from_trainer
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model-index:
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- name: unsup-Qwen3-1.7B-datav3
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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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# unsup-Qwen3-1.7B-datav3
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This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2568
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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: 0.0003
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- train_batch_size: 128
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-07 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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 4.2641 | 0.0624 | 1000 | 0.3924 |
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| 4.2102 | 0.1247 | 2000 | 0.3755 |
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| 3.6754 | 0.1871 | 3000 | 0.3278 |
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| 3.4875 | 0.2494 | 4000 | 0.3120 |
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| 3.4383 | 0.3118 | 5000 | 0.2955 |
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| 3.0117 | 0.3741 | 6000 | 0.2865 |
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| 2.9805 | 0.4365 | 7000 | 0.2790 |
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| 2.5125 | 0.4988 | 8000 | 0.2720 |
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| 2.4559 | 0.5612 | 9000 | 0.2633 |
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| 2.5172 | 0.6235 | 10000 | 0.2570 |
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| 2.2059 | 0.6859 | 11000 | 0.2528 |
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| 1.973 | 0.7482 | 12000 | 0.2564 |
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| 1.9219 | 0.8106 | 13000 | 0.2556 |
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| 1.643 | 0.8729 | 14000 | 0.2570 |
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| 1.9918 | 0.9353 | 15000 | 0.2564 |
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| 1.8969 | 0.9976 | 16000 | 0.2568 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.8.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.0
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