End of training

README.md

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+---
+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-beilinson
+  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-beilinson
+
+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: 2.7997
+- Accuracy: 0.2146
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 156
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.937         | 0.3333 | 52   | 3.0845          | 0.0730   |
+| 2.4678        | 1.3333 | 104  | 2.8946          | 0.1459   |
+| 2.4529        | 2.3333 | 156  | 2.7997          | 0.2146   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_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": "lat pulldown",
+    "1": "hip thrust",
+    "2": "shoulder press",
+    "3": "romanian deadlift",
+    "4": "push-up",
+    "5": "chest fly machine",
+    "6": "russian twist",
+    "7": "hammer curl",
+    "8": "bench press",
+    "9": "lateral raise",
+    "10": "tricep Pushdown",
+    "11": "leg raises",
+    "12": "tricep dips",
+    "13": "incline bench press",
+    "14": "leg extension",
+    "15": "t bar row",
+    "16": "plank",
+    "17": "pull Up",
+    "18": "barbell biceps curl",
+    "19": "squat",
+    "20": "deadlift",
+    "21": "decline bench press"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "barbell biceps curl": 18,
+    "bench press": 8,
+    "chest fly machine": 5,
+    "deadlift": 20,
+    "decline bench press": 21,
+    "hammer curl": 7,
+    "hip thrust": 1,
+    "incline bench press": 13,
+    "lat pulldown": 0,
+    "lateral raise": 9,
+    "leg extension": 14,
+    "leg raises": 11,
+    "plank": 16,
+    "pull Up": 17,
+    "push-up": 4,
+    "romanian deadlift": 3,
+    "russian twist": 6,
+    "shoulder press": 2,
+    "squat": 19,
+    "t bar row": 15,
+    "tricep Pushdown": 10,
+    "tricep dips": 12
+  },
+  "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": "4.46.2",
+  "tubelet_size": 2,
+  "use_mean_pooling": false
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1f3d66ab381d649cac0f8868e9f2c088e54783773dec306503e1af1d0ed751cd
+size 344998896

preprocessor_config.json

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+{
+  "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
+  }
+}

runs/Dec02_19-43-43_eaa05605afea/events.out.tfevents.1733168635.eaa05605afea.1089.0

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+size 46638

training_args.bin

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+size 5304