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--- |
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base_model: Qwen/Qwen2-VL-2B-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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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: qwen2-2b-instruct-trl-sft-mrg |
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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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# qwen2-2b-instruct-trl-sft-mrg |
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This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2568 |
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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: 0.0001 |
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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: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Use adamw_torch_fused 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_ratio: 0.1 |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 3.0236 | 0.4942 | 32 | 2.9521 | |
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| 2.6642 | 0.9884 | 64 | 2.4341 | |
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| 2.156 | 1.4846 | 96 | 1.9677 | |
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| 1.9011 | 1.9788 | 128 | 1.7312 | |
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| 1.6955 | 2.4749 | 160 | 1.6093 | |
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| 1.5552 | 2.9691 | 192 | 1.5437 | |
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| 1.5361 | 3.4653 | 224 | 1.4991 | |
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| 1.4831 | 3.9595 | 256 | 1.4554 | |
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| 1.5036 | 4.4556 | 288 | 1.4261 | |
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| 1.3815 | 4.9498 | 320 | 1.3991 | |
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| 1.3762 | 5.4459 | 352 | 1.3760 | |
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| 1.3636 | 5.9402 | 384 | 1.3562 | |
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| 1.2826 | 6.4363 | 416 | 1.3424 | |
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| 1.3178 | 6.9305 | 448 | 1.3256 | |
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| 1.2689 | 7.4266 | 480 | 1.3123 | |
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| 1.2163 | 7.9208 | 512 | 1.3019 | |
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| 1.284 | 8.4170 | 544 | 1.2920 | |
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| 1.3356 | 8.9112 | 576 | 1.2862 | |
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| 1.2359 | 9.4073 | 608 | 1.2820 | |
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| 1.2157 | 9.9015 | 640 | 1.2746 | |
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| 1.1936 | 10.3977 | 672 | 1.2709 | |
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| 1.3181 | 10.8919 | 704 | 1.2659 | |
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| 1.2266 | 11.3880 | 736 | 1.2641 | |
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| 1.213 | 11.8822 | 768 | 1.2605 | |
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| 1.1997 | 12.3784 | 800 | 1.2603 | |
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| 1.2584 | 12.8726 | 832 | 1.2577 | |
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| 1.2547 | 13.3687 | 864 | 1.2576 | |
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| 1.2544 | 13.8629 | 896 | 1.2574 | |
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| 1.203 | 14.3591 | 928 | 1.2569 | |
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| 1.1467 | 14.8533 | 960 | 1.2568 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.46.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
