Model save

README.md

@@ -0,0 +1,60 @@
+---
+base_model: Tommidi/st_vit_untrained
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: spatio_temporal_vit-finetuned-ucf101-subset
+  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. -->
+
+# spatio_temporal_vit-finetuned-ucf101-subset
+
+This model is a fine-tuned version of [Tommidi/st_vit_untrained](https://huggingface.co/Tommidi/st_vit_untrained) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1244
+- Accuracy: 0.9
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 37
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6013        | 1.0   | 37   | 0.1244          | 0.9      |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,16 @@
+{
+  "_name_or_path": "Tommidi/st_vit_untrained",
+  "architectures": [
+    "ST_Vit"
+  ],
+  "model_type": "st_vit",
+  "out_channels": 10,
+  "spatial_vit": {
+    "model_type": "vit"
+  },
+  "temporal_vit": {
+    "model_type": "vit"
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:edadc4961ebfc861bffd5bff5f28d1510e7808243c72f51d0223a7ef0789872a
+size 688841212

runs/Feb07_16-39-59_b5a2435d8e1f/events.out.tfevents.1707324006.b5a2435d8e1f.1121.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab80a902a49d2f074fdb436891255e83b3f91cb9136f9ca5a99a8c8ef738cf7b
+size 4086

runs/Feb07_16-40-32_b5a2435d8e1f/events.out.tfevents.1707324038.b5a2435d8e1f.1121.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c7a937e8e4cb056251e7db7da73368e541d5928be3a650c01e3fef0364f7b3df
+size 88

runs/Feb07_16-44-11_b5a2435d8e1f/events.out.tfevents.1707324255.b5a2435d8e1f.6210.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85eaa67361b52c936d8787cdacc5933941c33a62a9de2a17b4eb1b984f4bc23b
+size 4093

runs/Feb07_16-57-45_b5a2435d8e1f/events.out.tfevents.1707325072.b5a2435d8e1f.8447.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba4b10c6da6c9b623fa25391cee5066b9d0f9e10f0e0c86c0dffe3d947d36b4c
+size 5218

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f7231c6f7cce46fe462de90e7e69a467a0827bb076cb31fb85c1bbf3bab046d8
+size 4792