Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: picth_vision_checkpoint_8
+  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. -->
+
+# picth_vision_checkpoint_8
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3051
+- Accuracy: 0.9605
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 8364
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0           | 0.3335 | 2789 | 0.0534          | 0.9921   |
+| 0.0209        | 1.3335 | 5578 | 0.0984          | 0.9803   |
+| 0.0284        | 2.3331 | 8364 | 0.3051          | 0.9605   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.3.1+cu121
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

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