Model save

README.md

@@ -1,8 +1,66 @@
 ---
+library_name: transformers
 license: apache-2.0
-pipeline_tag: text-generation
+base_model: google/vit-base-patch16-224-in21k
 tags:
-- NLP
-language:
-- id
----
+- generated_from_trainer
+model-index:
+- name: Team-me-2008
+  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. -->
+
+# Team-me-2008
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0839
+
+## 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
+- 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: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2156        | 1.0   | 65   | 0.1348          |
+| 0.0565        | 2.0   | 130  | 0.1145          |
+| 0.0304        | 3.0   | 195  | 0.0374          |
+| 0.0222        | 4.0   | 260  | 0.0315          |
+| 0.0182        | 5.0   | 325  | 0.0302          |
+| 0.016         | 6.0   | 390  | 0.0296          |
+| 0.0147        | 7.0   | 455  | 0.0303          |
+| 0.014         | 8.0   | 520  | 0.0306          |
+| 0.0137        | 9.0   | 585  | 0.0306          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0