End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: apache-2.0
+base_model: microsoft/beit-base-patch16-224-pt22k-ft22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: hushem_40x_beit_base_f5
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9512195121951219
+---
+
+<!-- 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. -->
+
+# hushem_40x_beit_base_f5
+
+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: 0.2681
+- Accuracy: 0.9512
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0802        | 1.0   | 110  | 0.6945          | 0.8049   |
+| 0.028         | 2.0   | 220  | 0.5751          | 0.9024   |
+| 0.002         | 3.0   | 330  | 0.3641          | 0.9268   |
+| 0.0009        | 4.0   | 440  | 0.5616          | 0.8780   |
+| 0.0004        | 5.0   | 550  | 0.2822          | 0.9024   |
+| 0.0003        | 6.0   | 660  | 0.7387          | 0.8537   |
+| 0.0018        | 7.0   | 770  | 0.1999          | 0.9512   |
+| 0.0001        | 8.0   | 880  | 0.3046          | 0.9512   |
+| 0.0011        | 9.0   | 990  | 0.2897          | 0.9268   |
+| 0.0002        | 10.0  | 1100 | 0.2681          | 0.9512   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5fe808f27439e6444a601a16f9f35512a48f7c45dcf7dbc308c924fc219ee9e7
+oid sha256:39c165ef3e9a0ac29b2ba11eccb15ba62662197d7c0cf8ba2426d04356f39d49
 size 343086480

runs/Nov04_07-07-41_a38cfb645be7/events.out.tfevents.1699081672.a38cfb645be7.1548.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0846a2766eae4c57717792067deec91dfaa0665586447c706ca0a4f8973b437b
-size 25371
+oid sha256:39c406a589fdf8fdcd1bc58f9eb8c54846b9834273845fcd48402df5ea6989d5
+size 25725