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  1. .gitattributes +33 -0
  2. 100_lora_sft_ttt/README.md +74 -0
  3. 100_lora_sft_ttt/adapter_config.json +26 -0
  4. 100_lora_sft_ttt/adapter_model.safetensors +3 -0
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  31. 10_lora_sft_ttt/train_results.json +8 -0
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  36. 10_lora_sft_ttt/training_loss.png +3 -0
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  38. 11_lora_sft_ttt/README.md +68 -0
  39. 11_lora_sft_ttt/adapter_config.json +26 -0
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  50. 11_lora_sft_ttt/trainer_log.jsonl +7 -0
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+ ---
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+ library_name: peft
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+ license: other
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+ base_model: /home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/
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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: 100_lora_sft_ttt
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+ results: []
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+ ---
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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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+
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+ # 100_lora_sft_ttt
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+
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+ This model is a fine-tuned version of [/home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/](https://huggingface.co//home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/) on the bongard_ttt dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 4
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+ - total_eval_batch_size: 4
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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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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0798 | 0.2137 | 100 | 0.0591 |
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+ | 0.0566 | 0.4274 | 200 | 0.0586 |
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+ | 0.0444 | 0.6410 | 300 | 0.0120 |
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+ | 0.0235 | 0.8547 | 400 | 0.0065 |
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+ | 0.0066 | 1.0684 | 500 | 0.0003 |
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+ | 0.0021 | 1.2821 | 600 | 0.0002 |
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+ | 0.0005 | 1.4957 | 700 | 0.0001 |
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+ | 0.0008 | 1.7094 | 800 | 0.0001 |
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+ | 0.0021 | 1.9231 | 900 | 0.0001 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
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+ ---
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+ library_name: peft
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+ license: other
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+ base_model: /home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/
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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: 10_lora_sft_ttt
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+ results: []
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+ ---
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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
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
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+ # 10_lora_sft_ttt
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+
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+ This model is a fine-tuned version of [/home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/](https://huggingface.co//home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/) on the bongard_ttt dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0004
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
32
+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 4
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+ - total_eval_batch_size: 4
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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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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0456 | 0.6410 | 100 | 0.0040 |
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+ | 0.0076 | 1.2821 | 200 | 0.0007 |
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+ | 0.0003 | 1.9231 | 300 | 0.0004 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
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+ ---
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+ library_name: peft
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+ license: other
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+ base_model: /home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/
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+ tags:
6
+ - 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: 11_lora_sft_ttt
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+ results: []
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+ ---
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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
15
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 11_lora_sft_ttt
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+
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+ This model is a fine-tuned version of [/home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/](https://huggingface.co//home/kh844/icml/LLaMA-Factory/models/qwen2_vl_lora_sft_v1/) on the bongard_ttt dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 4
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+ - total_eval_batch_size: 4
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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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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0471 | 0.5848 | 100 | 0.0021 |
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+ | 0.0135 | 1.1696 | 200 | 0.0002 |
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+ | 0.0011 | 1.7544 | 300 | 0.0001 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
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11_lora_sft_ttt/special_tokens_map.json ADDED
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11_lora_sft_ttt/tokenizer.json ADDED
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11_lora_sft_ttt/tokenizer_config.json ADDED
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+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
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+ "unk_token": null
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+ }
11_lora_sft_ttt/train_results.json ADDED
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+ }
11_lora_sft_ttt/trainer_log.jsonl ADDED
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