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End of training

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  1. README.md +58 -0
  2. adapter_config.json +25 -0
  3. adapter_model.safetensors +3 -0
  4. generation_config.json +7 -0
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  15. runs/Apr12_04-14-23_ip-26-0-172-142/events.out.tfevents.1712895270.ip-26-0-172-142.3397376.0 +3 -0
  16. runs/Apr12_04-15-31_ip-26-0-172-142/events.out.tfevents.1712895337.ip-26-0-172-142.3398108.0 +3 -0
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  21. runs/Apr12_04-26-40_ip-26-0-172-142/events.out.tfevents.1712896004.ip-26-0-172-142.3403103.0 +3 -0
  22. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: HuggingFaceM4/idefics2-8b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: idefics2-8b-docvqa-finetuned
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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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+ # idefics2-8b-docvqa-finetuned
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+
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+ This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
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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: 8
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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: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 1
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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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+ | No log | 1.0 | 10 | 2.8948 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2+cu118
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.1
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+ "lora_dropout": 0.1,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": ".*(text_model|modality_projection|perceiver_resampler).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$",
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+ "task_type": null,
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+ "use_dora": false,
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+ }
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