Model save
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README.md
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---
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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: '2024_08_13'
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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: 0.75
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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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# 2024_08_13
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This model was trained from scratch on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5502
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- Accuracy: 0.75
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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-06
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- train_batch_size: 1
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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: 4
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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: 30
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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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| 0.7191 | 0.992 | 31 | 0.7459 | 0.25 |
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| 0.6894 | 1.984 | 62 | 0.6787 | 0.75 |
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| 0.5993 | 2.976 | 93 | 0.6090 | 0.75 |
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| 0.5858 | 4.0 | 125 | 0.5702 | 0.75 |
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| 0.5407 | 4.992 | 156 | 0.5572 | 0.75 |
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| 0.6552 | 5.984 | 187 | 0.5553 | 0.75 |
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| 0.5562 | 6.976 | 218 | 0.5529 | 0.75 |
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| 0.6054 | 8.0 | 250 | 0.5519 | 0.75 |
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| 0.7563 | 8.992 | 281 | 0.5518 | 0.75 |
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| 0.5174 | 9.984 | 312 | 0.5523 | 0.75 |
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| 0.3765 | 10.9760 | 343 | 0.5514 | 0.75 |
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| 0.5727 | 12.0 | 375 | 0.5507 | 0.75 |
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| 0.5613 | 12.992 | 406 | 0.5510 | 0.75 |
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| 0.568 | 13.984 | 437 | 0.5510 | 0.75 |
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| 0.6655 | 14.9760 | 468 | 0.5514 | 0.75 |
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| 0.4883 | 16.0 | 500 | 0.5522 | 0.75 |
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| 0.5317 | 16.992 | 531 | 0.5518 | 0.75 |
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| 0.4501 | 17.984 | 562 | 0.5520 | 0.75 |
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| 0.4616 | 18.976 | 593 | 0.5519 | 0.75 |
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| 0.4522 | 20.0 | 625 | 0.5510 | 0.75 |
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| 0.6326 | 20.992 | 656 | 0.5507 | 0.75 |
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| 0.3828 | 21.984 | 687 | 0.5508 | 0.75 |
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| 0.4283 | 22.976 | 718 | 0.5509 | 0.75 |
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| 0.6701 | 24.0 | 750 | 0.5506 | 0.75 |
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| 0.6157 | 24.992 | 781 | 0.5503 | 0.75 |
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| 0.5657 | 25.984 | 812 | 0.5503 | 0.75 |
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| 0.5127 | 26.976 | 843 | 0.5503 | 0.75 |
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| 0.6178 | 28.0 | 875 | 0.5503 | 0.75 |
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| 0.5679 | 28.992 | 906 | 0.5502 | 0.75 |
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| 0.6102 | 29.76 | 930 | 0.5502 | 0.75 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 347645480
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size 347645480
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runs/Aug13_14-22-46_EMIMDGXA100GPU1/events.out.tfevents.1723573368.EMIMDGXA100GPU1.133133.0
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version https://git-lfs.github.com/spec/v1
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size
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size 34815
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