End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+model-index:
+- name: vit-base-patch16-224-finetuned-dangerousSpiders
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vit-base-patch16-224-finetuned-dangerousSpiders
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.1685
+- eval_accuracy: 0.94
+- eval_precision: 0.9434
+- eval_recall: 0.9392
+- eval_f1: 0.9398
+- eval_runtime: 4.6226
+- eval_samples_per_second: 43.266
+- eval_steps_per_second: 2.812
+- step: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.2.0.dev20230921
+- Datasets 2.14.5
+- Tokenizers 0.13.3

all_results.json

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+{
+    "epoch": 2.0,
+    "eval_accuracy": 0.94,
+    "eval_f1": 0.9397832195905259,
+    "eval_loss": 0.1684570461511612,
+    "eval_precision": 0.9434343434343434,
+    "eval_recall": 0.9391756702681072,
+    "eval_runtime": 4.6226,
+    "eval_samples_per_second": 43.266,
+    "eval_steps_per_second": 2.812,
+    "train_loss": 0.2957918119430542,
+    "train_runtime": 131.7828,
+    "train_samples_per_second": 24.282,
+    "train_steps_per_second": 0.379
+}

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Lactrodectus_hesperus",
+    "1": "Parasteatoda_tepidariorum"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Lactrodectus_hesperus": 0,
+    "Parasteatoda_tepidariorum": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2"
+}

eval_results.json

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+{
+    "eval_accuracy": 0.94,
+    "eval_f1": 0.9397832195905259,
+    "eval_loss": 0.1684570461511612,
+    "eval_precision": 0.9434343434343434,
+    "eval_recall": 0.9391756702681072,
+    "eval_runtime": 4.6226,
+    "eval_samples_per_second": 43.266,
+    "eval_steps_per_second": 2.812
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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train_results.json

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+{
+    "epoch": 2.0,
+    "train_loss": 0.2957918119430542,
+    "train_runtime": 131.7828,
+    "train_samples_per_second": 24.282,
+    "train_steps_per_second": 0.379
+}

trainer_state.json

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+{
+  "best_metric": 0.93,
+  "best_model_checkpoint": "vit-base-patch16-224-finetuned-dangerousSpiders/checkpoint-50",
+  "epoch": 2.0,
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+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_precision": 0.9145833333333333,
+      "eval_recall": 0.8999598030348709,
+      "eval_runtime": 6.423,
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+      "eval_loss": 0.1735258251428604,
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+      "eval_recall": 0.9268415234649784,
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+      "train_steps_per_second": 0.379
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 50,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 2.479743667666944e+17,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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