End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-slrbd001
+  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-slrbd001
+
+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: 1.6389
+- Accuracy: 0.25
+
+## 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: 4
+- eval_batch_size: 4
+- 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: 60
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.05  | 3    | 1.4887          | 0.25     |
+| No log        | 1.05  | 6    | 1.3967          | 0.0      |
+| No log        | 2.05  | 9    | 1.3822          | 0.375    |
+| 1.4098        | 3.05  | 12   | 1.3607          | 0.375    |
+| 1.4098        | 4.05  | 15   | 1.2716          | 0.5      |
+| 1.4098        | 5.05  | 18   | 1.2074          | 0.5      |
+| 1.2325        | 6.05  | 21   | 1.3363          | 0.25     |
+| 1.2325        | 7.05  | 24   | 1.3342          | 0.25     |
+| 1.2325        | 8.05  | 27   | 1.1540          | 0.375    |
+| 0.8868        | 9.05  | 30   | 1.0971          | 0.5      |
+| 0.8868        | 10.05 | 33   | 1.1247          | 0.375    |
+| 0.8868        | 11.05 | 36   | 1.2616          | 0.25     |
+| 0.8868        | 12.05 | 39   | 0.9747          | 0.375    |
+| 0.8266        | 13.05 | 42   | 0.8311          | 0.375    |
+| 0.8266        | 14.05 | 45   | 0.9191          | 0.375    |
+| 0.8266        | 15.05 | 48   | 1.1805          | 0.25     |
+| 0.8023        | 16.05 | 51   | 1.3324          | 0.25     |
+| 0.8023        | 17.05 | 54   | 1.5051          | 0.25     |
+| 0.8023        | 18.05 | 57   | 1.6055          | 0.25     |
+| 0.7772        | 19.05 | 60   | 1.6389          | 0.25     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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": "Basketball",
+    "1": "Cricket",
+    "2": "Soccer",
+    "3": "Tennis"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Basketball": 0,
+    "Cricket": 1,
+    "Soccer": 2,
+    "Tennis": 3
+  },
+  "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": "4.35.2",
+  "tubelet_size": 2,
+  "use_mean_pooling": false
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c905f8b6380c7ac42e6fd478750f60daa316788b0b9fc439cd8d648d57cb9ad
+size 344943528

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,
+  "feature_extractor_type": "VideoMAEFeatureExtractor",
+  "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/Nov27_15-20-40_1dfd7721dd69/events.out.tfevents.1701098464.1dfd7721dd69.417.0

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+size 12190

training_args.bin

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+oid sha256:81dfde7f8f9abf70079b55e6fc2917fe02ffab260608978365bafa5ae0029e1b
+size 4600