Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: vit_focus
+  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_focus
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.8519
+- Mse: inf
+- Mae: inf
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
+| No log        | 1.0   | 2    | 6.9680          | inf | inf |
+| No log        | 2.0   | 4    | 6.9506          | inf | inf |
+| No log        | 3.0   | 6    | 6.9003          | inf | inf |
+| No log        | 4.0   | 8    | 6.8519          | inf | inf |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0
+- Datasets 3.5.1
+- Tokenizers 0.21.1

model.safetensors

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