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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-qlora-float16-idefics2-8b-indiana |
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results: [] |
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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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# gm-qlora-float16-idefics2-8b-indiana |
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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: 0.3401 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 20 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4248 | 0.1408 | 41 | 0.7825 | |
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| 0.7397 | 0.2817 | 82 | 0.6691 | |
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| 0.6407 | 0.4225 | 123 | 0.6101 | |
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| 0.606 | 0.5634 | 164 | 0.5650 | |
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| 0.575 | 0.7042 | 205 | 0.5273 | |
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| 0.5301 | 0.8451 | 246 | 0.4916 | |
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| 0.4834 | 0.9859 | 287 | 0.4677 | |
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| 0.3982 | 1.1268 | 328 | 0.4448 | |
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| 0.366 | 1.2676 | 369 | 0.4266 | |
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| 0.3493 | 1.4085 | 410 | 0.4068 | |
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| 0.3478 | 1.5493 | 451 | 0.3865 | |
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| 0.3173 | 1.6901 | 492 | 0.3681 | |
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| 0.3036 | 1.8310 | 533 | 0.3515 | |
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| 0.2917 | 1.9718 | 574 | 0.3401 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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