74 lines
2.1 KiB
Markdown
74 lines
2.1 KiB
Markdown
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-0.6B
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tags:
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- generated_from_trainer
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model-index:
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- name: sft-count_loss-Qwen3-0.6B-mle0.5-ul0.5-tox0-e4
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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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# sft-count_loss-Qwen3-0.6B-mle0.5-ul0.5-tox0-e4
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9505
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_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_steps: 5
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.7934 | 0.2899 | 200 | 1.3768 |
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| 2.6787 | 0.5797 | 400 | 1.3584 |
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| 2.7074 | 0.8696 | 600 | 1.3443 |
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| 1.8508 | 1.1594 | 800 | 1.3934 |
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| 1.9016 | 1.4493 | 1000 | 1.4017 |
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| 1.8603 | 1.7391 | 1200 | 1.4073 |
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| 1.7469 | 2.0290 | 1400 | 1.6987 |
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| 0.9924 | 2.3188 | 1600 | 1.7187 |
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| 1.0118 | 2.6087 | 1800 | 1.7246 |
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| 0.9845 | 2.8986 | 2000 | 1.7222 |
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| 0.5651 | 3.1884 | 2200 | 1.9391 |
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| 0.5605 | 3.4783 | 2400 | 1.9573 |
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| 0.553 | 3.7681 | 2600 | 1.9505 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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