Model save

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-ucf101-subset-face
+  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. -->
+
+# videomae-base-finetuned-ucf101-subset-face
+
+This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5315
+- Accuracy: 0.6389
+
+## 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: 3
+- eval_batch_size: 3
+- 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: 2000
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.8253        | 9.005   | 100  | 1.7977          | 0.1667   |
+| 1.6427        | 19.005  | 200  | 2.1211          | 0.1667   |
+| 1.0603        | 29.005  | 300  | 2.5370          | 0.1944   |
+| 0.6361        | 39.005  | 400  | 1.9683          | 0.4444   |
+| 0.7149        | 49.005  | 500  | 2.8125          | 0.3889   |
+| 0.3396        | 59.005  | 600  | 2.2497          | 0.5556   |
+| 0.3026        | 69.005  | 700  | 1.7178          | 0.6389   |
+| 0.3043        | 79.005  | 800  | 2.5029          | 0.6111   |
+| 0.1636        | 89.005  | 900  | 2.7748          | 0.6111   |
+| 0.1292        | 99.005  | 1000 | 2.1868          | 0.6389   |
+| 0.5229        | 109.005 | 1100 | 2.4543          | 0.6111   |
+| 0.0016        | 119.005 | 1200 | 1.7452          | 0.75     |
+| 0.0013        | 129.005 | 1300 | 2.5026          | 0.6111   |
+| 0.0011        | 139.005 | 1400 | 2.3153          | 0.6389   |
+| 0.0011        | 149.005 | 1500 | 1.7536          | 0.75     |
+| 0.0028        | 159.005 | 1600 | 2.5384          | 0.6389   |
+| 0.0605        | 169.005 | 1700 | 2.6368          | 0.6111   |
+| 0.2064        | 179.005 | 1800 | 2.3678          | 0.6667   |
+| 0.0013        | 189.005 | 1900 | 2.4561          | 0.6389   |
+| 0.0009        | 199.005 | 2000 | 2.5315          | 0.6389   |
+
+
+### Framework versions
+
+- Transformers 4.45.0
+- Pytorch 2.4.1+cu118
+- Datasets 3.0.0
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,47 @@
+{
+  "_name_or_path": "MCG-NJU/videomae-base",
+  "architectures": [
+    "VideoMAEForVideoClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "decoder_hidden_size": 384,
+  "decoder_intermediate_size": 1536,
+  "decoder_num_attention_heads": 6,
+  "decoder_num_hidden_layers": 4,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "left_eye",
+    "1": "left_mouth",
+    "2": "open_mouth",
+    "3": "right_eye",
+    "4": "right_mouth",
+    "5": "up_eyebrow"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "left_eye": 0,
+    "left_mouth": 1,
+    "open_mouth": 2,
+    "right_eye": 3,
+    "right_mouth": 4,
+    "up_eyebrow": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "videomae",
+  "norm_pix_loss": true,
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_frames": 16,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0",
+  "tubelet_size": 2,
+  "use_mean_pooling": false
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b302246d64ca548185cac7eaa7c1ed2814a6e134e552798f89d32cab097ffa0
+size 344949680

preprocessor_config.json

@@ -0,0 +1,26 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "VideoMAEImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f5f67ff92dbd670aead26cd38f07bc9c5f9a761b2114b0c8166dc67ef4b6444
+size 5240