Model save
Browse files- README.md +11 -11
- config.json +3 -3
- model.safetensors +2 -2
- preprocessor_config.json +16 -10
- runs/Dec01_12-42-32_610b2a9400b8/events.out.tfevents.1701434600.610b2a9400b8.3653.0 +3 -0
- runs/Dec01_12-47-24_610b2a9400b8/events.out.tfevents.1701434856.610b2a9400b8.3653.1 +3 -0
- runs/Dec01_12-51-12_610b2a9400b8/events.out.tfevents.1701435078.610b2a9400b8.3653.2 +3 -0
- runs/Dec01_13-00-42_610b2a9400b8/events.out.tfevents.1701435648.610b2a9400b8.3653.3 +3 -0
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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# finetuned-Leukemia-cell
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This model is a fine-tuned version of [
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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 Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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---
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license: apache-2.0
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base_model: facebook/deit-base-distilled-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9661654135338346
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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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# finetuned-Leukemia-cell
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This model is a fine-tuned version of [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0956
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- Accuracy: 0.9662
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3464 | 2.94 | 100 | 0.2377 | 0.9286 |
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| 0.153 | 5.88 | 200 | 0.2519 | 0.9060 |
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| 0.1663 | 8.82 | 300 | 0.1753 | 0.9398 |
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| 0.0962 | 11.76 | 400 | 0.2009 | 0.9398 |
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| 0.0612 | 14.71 | 500 | 0.1348 | 0.9586 |
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| 0.0341 | 17.65 | 600 | 0.0956 | 0.9662 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"trico": "6"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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{
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"_name_or_path": "facebook/deit-base-distilled-patch16-224",
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"architectures": [
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"DeiTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"trico": "6"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "deit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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model.safetensors
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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"crop_size": {
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"height": 224,
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"width": 224
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"do_center_crop": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "DeiTFeatureExtractor",
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"image_mean": [
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"image_processor_type": "DeiTFeatureExtractor",
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"image_std": [
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"size": {
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"height": 256,
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"width": 256
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runs/Dec01_12-42-32_610b2a9400b8/events.out.tfevents.1701434600.610b2a9400b8.3653.0
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runs/Dec01_12-47-24_610b2a9400b8/events.out.tfevents.1701434856.610b2a9400b8.3653.1
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runs/Dec01_12-51-12_610b2a9400b8/events.out.tfevents.1701435078.610b2a9400b8.3653.2
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runs/Dec01_13-00-42_610b2a9400b8/events.out.tfevents.1701435648.610b2a9400b8.3653.3
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training_args.bin
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