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End of training

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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: gm-lora-float32-idefics2-8b-midefics-cpu
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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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+ # gm-lora-float32-idefics2-8b-midefics-cpu
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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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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7164
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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: 10
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+ - total_train_batch_size: 80
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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: 2
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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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+ | 2.3207 | 0.4211 | 20 | 1.1021 |
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+ | 0.9194 | 0.8421 | 40 | 0.7737 |
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+ | 0.7603 | 1.2632 | 60 | 0.7334 |
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+ | 0.7111 | 1.6842 | 80 | 0.7164 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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