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--- |
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base_model: Qwen/Qwen2-1.5B-Instruct |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: test0901-5 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](None) |
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# test0901-5 |
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This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8424 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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_ratio: 0.1 |
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- training_steps: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0082 | 1 | 2.0249 | |
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| No log | 0.0163 | 2 | 2.0155 | |
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| No log | 0.0245 | 3 | 1.9926 | |
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| No log | 0.0326 | 4 | 1.9594 | |
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| No log | 0.0408 | 5 | 1.9194 | |
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| No log | 0.0489 | 6 | 1.8850 | |
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| No log | 0.0571 | 7 | 1.8630 | |
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| No log | 0.0652 | 8 | 1.8497 | |
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| No log | 0.0734 | 9 | 1.8417 | |
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| 1.6809 | 0.0815 | 10 | 1.8424 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
