Update README.md

README.md

@@ -1,3 +1,73 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+
+---
+library_name: transformers
+tags:
+- masked-image-modeling
+- generated_from_trainer
+model-index:
+- name: smb-vision-base-1029
+  results: [0.5023 L2-loss]
+---
+
+<!-- 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. -->
+
+# smb-vision-base-1029
+
+This model is trained from scratch using [VideoMAE](https://huggingface.co/docs/transformers/en/model_doc/videomae) on over 4.7k CT volumes.
+
+## 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-04
+- train_batch_size: 32
+- eval_batch_size: 1
+- 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: cosine
+- num_epochs: 30.0
+
+### Training results
+
+{
+  "_runtime": 54805.860011105,
+  "_step": 4351,
+  "eval/runtime": 17.8428,
+  "eval/samples_per_second": 2.578,
+  "eval/steps_per_second": 2.578,
+  "total_flos": 3.8084565648770335e+21,
+  "train/epoch": 30,
+  "train/global_step": 4350,
+  "train/grad_norm": 0.0735374316573143,
+  "train/learning_rate": 0,
+  "train/loss": 0.5736,
+  "train_loss": 0.5022664608695041,
+  "train_runtime": 54785.1298,
+  "train_samples_per_second": 2.527,
+  "train_steps_per_second": 0.079
+}
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.5.0
+- Datasets 3.0.2
+- Tokenizers 0.20.1