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Model save
Browse files- README.md +59 -0
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- runs/Nov13_22-37-09_ip-172-30-1-15/events.out.tfevents.1731537430.ip-172-30-1-15 +2 -2
- runs/Nov13_22-38-14_ip-172-30-1-15/events.out.tfevents.1731537495.ip-172-30-1-15 +3 -0
- runs/Nov13_23-06-40_ip-172-30-1-15/events.out.tfevents.1731539201.ip-172-30-1-15 +3 -0
- training_args.bin +1 -1
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: Qwen/Qwen2-VL-7B-Instruct
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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-template-matching-overfit-v1
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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-template-matching-overfit-v1
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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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## 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: 2
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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: 16
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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: 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 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "/
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen2-VL-7B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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runs/Nov13_22-37-09_ip-172-30-1-15/events.out.tfevents.1731537430.ip-172-30-1-15
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runs/Nov13_22-38-14_ip-172-30-1-15/events.out.tfevents.1731537495.ip-172-30-1-15
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runs/Nov13_23-06-40_ip-172-30-1-15/events.out.tfevents.1731539201.ip-172-30-1-15
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training_args.bin
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