Training in progress, step 200
Browse files- README.md +59 -0
- all_results.json +13 -0
- config.json +34 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Apr16_04-50-38_ip-172-16-49-2.ec2.internal/events.out.tfevents.1713243053.ip-172-16-49-2.ec2.internal.31959.0 +3 -0
- runs/Apr16_04-50-38_ip-172-16-49-2.ec2.internal/events.out.tfevents.1713243146.ip-172-16-49-2.ec2.internal.31959.1 +3 -0
- runs/Apr16_05-10-42_ip-172-16-49-2.ec2.internal/events.out.tfevents.1713244248.ip-172-16-49-2.ec2.internal.19969.0 +3 -0
- runs/Apr16_05-18-40_ip-172-16-49-2.ec2.internal/events.out.tfevents.1713244722.ip-172-16-49-2.ec2.internal.28494.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +230 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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: vit-base-beans
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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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# vit-base-beans
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0409
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- Accuracy: 0.9850
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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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: linear
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- num_epochs: 4
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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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| 0.0961 | 1.54 | 100 | 0.1920 | 0.9398 |
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| 0.0123 | 3.08 | 200 | 0.0409 | 0.9850 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9924812030075187,
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"eval_loss": 0.03386877477169037,
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"eval_runtime": 1.7511,
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"eval_samples_per_second": 75.95,
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"eval_steps_per_second": 9.708,
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"total_flos": 3.205097416476426e+17,
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"train_loss": 0.1224416760297922,
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"train_runtime": 70.5477,
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"train_samples_per_second": 58.627,
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"train_steps_per_second": 3.685
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}
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "angular_leaf_spot",
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"1": "bean_rust",
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"2": "healthy"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"angular_leaf_spot": "0",
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"bean_rust": "1",
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"healthy": "2"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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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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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2"
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}
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eval_results.json
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"eval_samples_per_second": 75.95,
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"eval_steps_per_second": 9.708
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}
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model.safetensors
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preprocessor_config.json
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