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.ipynb_checkpoints/README-checkpoint.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: weather-base
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: dataset
+      split: train
+      args: dataset
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9358600583090378
+---
+
+<!-- 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. -->
+
+# weather-base
+
+This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2184
+- Accuracy: 0.9359
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3368        | 1.0   | 171  | 0.2780          | 0.9009   |
+| 0.2129        | 2.0   | 342  | 0.2333          | 0.9300   |
+| 0.1827        | 3.0   | 513  | 0.2440          | 0.9213   |
+| 0.1475        | 4.0   | 684  | 0.2306          | 0.9315   |
+| 0.1284        | 5.0   | 855  | 0.2192          | 0.9359   |
+| 0.0526        | 6.0   | 1026 | 0.2184          | 0.9359   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2

.ipynb_checkpoints/all_results-checkpoint.json

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+{
+    "epoch": 6.0,
+    "total_flos": 2.549919337377528e+18,
+    "train_loss": 0.2920494159759834,
+    "train_runtime": 2402.1234,
+    "train_samples_per_second": 13.71,
+    "train_steps_per_second": 0.427
+}

runs/Mar07_14-11-04_pop-os/events.out.tfevents.1678201546.pop-os.7668.7

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+size 346