End of training
Browse files- README.md +30 -39
- all_results.json +6 -6
- eval_results.json +6 -6
- model.safetensors +1 -1
README.md
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base_model: google/efficientnet-b2
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tags:
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- generated_from_trainer
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datasets:
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- image_folder
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metrics:
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- accuracy
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model-index:
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- name: results
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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: image_folder
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type: image_folder
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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: 0.9944991748762314
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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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# results
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This model is a fine-tuned version of [google/efficientnet-b2](https://huggingface.co/google/efficientnet-b2) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2
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- Datasets 2.
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- Tokenizers 0.
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base_model: google/efficientnet-b2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [google/efficientnet-b2](https://huggingface.co/google/efficientnet-b2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1078
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- Accuracy: 0.9598
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## Model description
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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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| 0.7059 | 0.1829 | 100 | 0.6640 | 0.6232 |
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| 0.6189 | 0.3657 | 200 | 0.5881 | 0.7547 |
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| 0.4646 | 0.5486 | 300 | 0.4643 | 0.8030 |
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| 0.317 | 0.7314 | 400 | 0.3648 | 0.8457 |
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| 0.2206 | 0.9143 | 500 | 0.2737 | 0.8874 |
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| 0.1572 | 1.0971 | 600 | 0.2665 | 0.8787 |
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| 0.1102 | 1.28 | 700 | 0.2336 | 0.8902 |
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| 0.0787 | 1.4629 | 800 | 0.1256 | 0.9518 |
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| 0.058 | 1.6457 | 900 | 0.1807 | 0.9211 |
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| 0.0506 | 1.8286 | 1000 | 0.1146 | 0.9547 |
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| 0.0385 | 2.0114 | 1100 | 0.1418 | 0.9402 |
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| 0.0273 | 2.1943 | 1200 | 0.0924 | 0.9639 |
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| 0.021 | 2.3771 | 1300 | 0.2166 | 0.9093 |
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| 0.019 | 2.56 | 1400 | 0.2138 | 0.9158 |
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| 0.0174 | 2.7429 | 1500 | 0.1078 | 0.9598 |
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| 0.0161 | 2.9257 | 1600 | 0.0846 | 0.9686 |
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| 0.0147 | 3.1086 | 1700 | 0.1207 | 0.9561 |
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| 0.0122 | 3.2914 | 1800 | 0.1366 | 0.9476 |
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| 0.0112 | 3.4743 | 1900 | 0.2256 | 0.9077 |
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| 0.0109 | 3.6571 | 2000 | 0.1596 | 0.9416 |
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| 0.0101 | 3.84 | 2100 | 0.2561 | 0.9018 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 3.9936,
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"eval_accuracy": 0.9597666666666667,
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"eval_loss": 0.10777818411588669,
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"eval_runtime": 319.5142,
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"eval_samples_per_second": 93.893,
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"eval_steps_per_second": 2.936
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}
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eval_results.json
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{
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"epoch": 3.
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"eval_accuracy": 0.
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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}
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{
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"epoch": 3.9936,
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"eval_accuracy": 0.9597666666666667,
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"eval_loss": 0.10777818411588669,
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"eval_runtime": 319.5142,
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"eval_samples_per_second": 93.893,
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"eval_steps_per_second": 2.936
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 31151640
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version https://git-lfs.github.com/spec/v1
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