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--- |
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base_model: Qwen/Qwen2-VL-7B-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: qwen2-7b-instruct-amazon-description-clone |
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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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# qwen2-7b-instruct-amazon-description-clone |
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This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset. |
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Clone of [philschmid/qwen2-2b-instruct-amazon-description](https://huggingface.co/philschmid/qwen2-2b-instruct-amazon-description). See his blog [How to Fine-Tune Multimodal Models or VLMs with Hugging Face TRL](https://www.philschmid.de/fine-tune-multimodal-llms-with-trl) for more details. |
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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: 8 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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### Training results |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
