Model save

README.md

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+---
+license: apache-2.0
+base_model: google/bit-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: bit-50
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.085
+---
+
+<!-- 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. -->
+
+# bit-50
+
+This model is a fine-tuned version of [google/bit-50](https://huggingface.co/google/bit-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7122385408.0
+- Accuracy: 0.085
+
+## 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: 0.0002
+- 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5528748032.0  | 1.0   | 50   | 7122386944.0    | 0.085    |
+| 5155133849.6  | 2.0   | 100  | 7122386944.0    | 0.085    |
+| 5068722995.2  | 3.0   | 150  | 7122386944.0    | 0.085    |
+| 5613660569.6  | 4.0   | 200  | 7122385408.0    | 0.085    |
+| 7499937382.4  | 5.0   | 250  | 7122385408.0    | 0.085    |
+| 5806654259.2  | 6.0   | 300  | 7122385408.0    | 0.085    |
+| 5483250483.2  | 7.0   | 350  | 7122385408.0    | 0.085    |
+| 6852667392.0  | 8.0   | 400  | 7122385408.0    | 0.085    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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