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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: llava-hf/llava-v1.6-mistral-7b-hf
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: RLAIF-V_Coocur-q0_50
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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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+ # RLAIF-V_Coocur-q0_50
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+
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+ This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the RLAIF-V_Coocur-q0_50 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0393
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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: 1e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 64
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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_steps: 10
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+ - num_epochs: 3.0
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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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+ | 1.1191 | 0.3478 | 50 | 1.1266 |
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+ | 1.0827 | 0.6957 | 100 | 1.0804 |
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+ | 0.9347 | 1.0435 | 150 | 1.0631 |
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+ | 0.9284 | 1.3913 | 200 | 1.0467 |
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+ | 0.9103 | 1.7391 | 250 | 1.0328 |
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+ | 0.8121 | 2.0870 | 300 | 1.0423 |
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+ | 0.7971 | 2.4348 | 350 | 1.0391 |
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+ | 0.8019 | 2.7826 | 400 | 1.0393 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.20.3
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+ "train_loss": 0.9544596938820152,
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+ "train_runtime": 6643.7341,
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+ "train_steps_per_second": 0.065
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+ }
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+ "projector_hidden_act": "gelu",
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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