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--- |
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license: apache-2.0 |
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base_model: dennisjooo/emotion_classification |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: emotion_classification |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7575 |
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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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# emotion_classification |
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This model is a fine-tuned version of [dennisjooo/emotion_classification](https://huggingface.co/dennisjooo/emotion_classification) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7891 |
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- Accuracy: 0.7575 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- num_epochs: 10 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7123 | 1.0 | 25 | 0.8681 | 0.735 | |
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| 0.6349 | 2.0 | 50 | 0.8721 | 0.73 | |
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| 0.6354 | 3.0 | 75 | 0.8732 | 0.725 | |
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| 0.6189 | 4.0 | 100 | 0.8406 | 0.735 | |
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| 0.6364 | 5.0 | 125 | 0.8456 | 0.74 | |
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| 0.5833 | 6.0 | 150 | 0.8503 | 0.725 | |
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| 0.5384 | 7.0 | 175 | 0.8023 | 0.755 | |
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| 0.5297 | 8.0 | 200 | 0.8002 | 0.7525 | |
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| 0.5487 | 9.0 | 225 | 0.8253 | 0.745 | |
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| 0.5068 | 10.0 | 250 | 0.7891 | 0.7575 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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