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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vit-base-patch16-224-imigue |
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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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# vit-base-patch16-224-imigue |
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This model is a fine-tuned [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k), on [TornikeO/imigue](https://huggingface.co/datasets/TornikeO/imigue/) micro-level emotion |
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classification dataset. The evaluation performance is as follows (per-class evals are *precisions* for that particular class. F1 score is micro-averaged.): |
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- eval_loss: 0.6450 |
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- eval_accuracy: 0.8112 |
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- eval_f1: 0.6905 |
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- eval_arms_akimbo: 1.0 |
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- eval_biting_nails: 0.0 |
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- eval_buckle_button,_pulling_shirt_collar,_adjusting_tie: 0.8923 |
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- eval_bulging_face,_deep_breath: 0.6162 |
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- eval_covering_face: 0.8788 |
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- eval_crossing_fingers: 0.8468 |
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- eval_dustoffing_clothes: 0.77 |
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- eval_folding_arms: 0.7598 |
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- eval_head_up: 0.8182 |
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- eval_hold_back_arms: 0.7015 |
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- eval_illustrative_body_language: 0.8521 |
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- eval_minaret_gesture: 0.9677 |
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- eval_moving_torso: 0.7914 |
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- eval_playing_with_or_adjusting_hair: 0.8393 |
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- eval_playing_with_or_manipulating_objects: 0.9053 |
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- eval_pressing_lips: 0.7363 |
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- eval_putting_arms_behind_body: 0.0 |
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- eval_rubbing_eyes: 0.8793 |
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- eval_rubbing_or_holding_hands: 0.8180 |
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- eval_scratching_back: 0.875 |
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- eval_scratching_or_touching_arms: 0.7704 |
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- eval_shaking_shoulders: 0.7051 |
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- eval_sitting_upright: 0.7273 |
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- eval_touching_ears: 0.8261 |
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- eval_touching_hat: 0.9474 |
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- eval_touching_jaw: 0.8979 |
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- eval_touching_or_covering_suprasternal_notch: 1.0 |
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- eval_touching_or_scratching_facial_parts: 0.8178 |
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- eval_touching_or_scratching_forehead: 0.8 |
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- eval_touching_or_scratching_head: 0.8913 |
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- eval_touching_or_scratching_neck: 0.8788 |
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- eval_turtle_neck: 1.0 |
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- eval_runtime: 13.9155 |
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- eval_samples_per_second: 869.752 |
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- eval_steps_per_second: 3.449 |
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- step: 0 |
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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: 5e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 256 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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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_ratio: 0.1 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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