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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/Qwen2.5-0.5B |
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tags: |
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- generated_from_trainer |
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datasets: |
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- arrow |
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model-index: |
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- name: SLM_LAW |
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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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# SLM_LAW |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the arrow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1380 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.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: 1000 |
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- num_epochs: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.5039 | 0.0248 | 500 | 1.4864 | |
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| 1.4341 | 0.0496 | 1000 | 1.4603 | |
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| 1.3489 | 0.0744 | 1500 | 1.3271 | |
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| 1.2564 | 0.0992 | 2000 | 1.2632 | |
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| 1.2071 | 0.1240 | 2500 | 1.2287 | |
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| 1.1771 | 0.1488 | 3000 | 1.2031 | |
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| 1.1565 | 0.1737 | 3500 | 1.1845 | |
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| 1.1338 | 0.1985 | 4000 | 1.1688 | |
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| 1.1158 | 0.2233 | 4500 | 1.1507 | |
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| 1.0999 | 0.2481 | 5000 | 1.1380 | |
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### Framework versions |
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- Transformers 4.52.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.0 |
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