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--- |
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base_model: '' |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: glacformer |
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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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# glacformer |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0333 |
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- Mean Iou: 0.9528 |
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- Mean Accuracy: 0.9772 |
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- Overall Accuracy: 0.9885 |
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- Per Category Iou: [0.9855230058020051, 0.8845759711828091, 0.9883964861024538] |
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- Per Category Accuracy: [0.9921669407092866, 0.9462930795421282, 0.9931901963885149] |
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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: 6e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------:|:------------------------------------------------------------:| |
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| 0.045 | 1.0 | 523 | 0.0421 | 0.9477 | 0.9795 | 0.9869 | [0.9852157890390353, 0.8719898483736556, 0.9857700613925825] | [0.9904340924248899, 0.9587586082053337, 0.9893900149083925] | |
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| 0.0372 | 2.0 | 1046 | 0.0333 | 0.9528 | 0.9772 | 0.9885 | [0.9855230058020051, 0.8845759711828091, 0.9883964861024538] | [0.9921669407092866, 0.9462930795421282, 0.9931901963885149] | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 1.14.0.dev20221130+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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