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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-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: qwen-ft |
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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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# qwen-ft |
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This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.6514 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 800 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 7.7492 | 0.0920 | 50 | 7.5711 | |
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| 7.4321 | 0.1841 | 100 | 7.3186 | |
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| 7.0377 | 0.2761 | 150 | 6.9218 | |
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| 6.8861 | 0.3682 | 200 | 6.7542 | |
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| 6.7161 | 0.4602 | 250 | 6.5817 | |
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| 6.4542 | 0.5522 | 300 | 6.3050 | |
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| 6.3839 | 0.6443 | 350 | 6.2909 | |
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| 6.1342 | 0.7363 | 400 | 6.0133 | |
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| 5.9798 | 0.8283 | 450 | 5.8894 | |
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| 5.9043 | 0.9204 | 500 | 5.8061 | |
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| 5.889 | 1.0124 | 550 | 5.7376 | |
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| 5.7778 | 1.1045 | 600 | 5.6900 | |
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| 5.8077 | 1.1965 | 650 | 5.6643 | |
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| 5.7363 | 1.2885 | 700 | 5.6539 | |
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| 5.7524 | 1.3806 | 750 | 5.6515 | |
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| 5.7289 | 1.4726 | 800 | 5.6514 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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