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  1. README.md +70 -0
  2. adapter_model.safetensors +1 -1
  3. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ base_model: openbmb/MiniCPM-V-2_6
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: MiniCPM-V-2_6_lora_20240916_155621
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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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+ # MiniCPM-V-2_6_lora_20240916_155621
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+
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+ This model is a fine-tuned version of [openbmb/MiniCPM-V-2_6](https://huggingface.co/openbmb/MiniCPM-V-2_6) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2347
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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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: cosine_with_restarts
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - training_steps: 1000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.1221 | 0.2430 | 100 | 0.2809 |
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+ | 0.1534 | 0.4860 | 200 | 0.2695 |
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+ | 0.1055 | 0.7290 | 300 | 0.2456 |
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+ | 0.0828 | 0.9721 | 400 | 0.2336 |
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+ | 0.1028 | 1.2151 | 500 | 0.2355 |
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+ | 0.0444 | 1.4581 | 600 | 0.2294 |
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+ | 0.054 | 1.7011 | 700 | 0.2347 |
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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 4.40.0
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+ - Pytorch 2.1.2+cu121
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+ - Tokenizers 0.19.1
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trainer_state.json ADDED
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