Training in progress, epoch 0

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-kinetics-finetuned-sports-videos-in-the-wild
+  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-kinetics-finetuned-sports-videos-in-the-wild
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9210
+- Accuracy: 0.4659
+- Macro Precision: 0.3938
+- Macro Recall: 0.4489
+- Macro F1: 0.4007
+- Weighted Precision: 0.4987
+- Weighted Recall: 0.4659
+- Weighted F1: 0.4613
+
+## 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: 0.0005
+- 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: 8400
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Macro Precision | Macro Recall | Macro F1 | Weighted Precision | Weighted Recall | Weighted F1 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|
+| 2.9626        | 0.0501  | 421  | 2.7906          | 0.2195   | 0.1161          | 0.1519       | 0.1070   | 0.2141             | 0.2195          | 0.1965      |
+| 2.5842        | 1.0501  | 842  | 2.8099          | 0.2494   | 0.1654          | 0.2218       | 0.1441   | 0.2625             | 0.2494          | 0.2014      |
+| 2.6205        | 2.0501  | 1263 | 2.5678          | 0.2603   | 0.2323          | 0.2441       | 0.1927   | 0.3526             | 0.2603          | 0.2535      |
+| 2.6291        | 3.0501  | 1684 | 2.4386          | 0.3256   | 0.2617          | 0.2725       | 0.2380   | 0.3552             | 0.3256          | 0.3169      |
+| 2.6426        | 4.0501  | 2105 | 2.3998          | 0.3380   | 0.2961          | 0.2888       | 0.2537   | 0.3914             | 0.3380          | 0.3318      |
+| 2.3348        | 5.0501  | 2526 | 2.3434          | 0.3230   | 0.2693          | 0.3114       | 0.2395   | 0.3982             | 0.3230          | 0.2966      |
+| 2.0078        | 6.0501  | 2947 | 2.3699          | 0.3328   | 0.3123          | 0.3292       | 0.2734   | 0.4285             | 0.3328          | 0.3271      |
+| 1.9522        | 7.0501  | 3368 | 2.2550          | 0.3722   | 0.3517          | 0.3427       | 0.2978   | 0.4422             | 0.3722          | 0.3688      |
+| 2.1432        | 8.0501  | 3789 | 2.1527          | 0.3832   | 0.3581          | 0.3516       | 0.3042   | 0.4461             | 0.3832          | 0.3696      |
+| 2.001         | 9.0501  | 4210 | 2.1392          | 0.4189   | 0.3563          | 0.3938       | 0.3431   | 0.4775             | 0.4189          | 0.4071      |
+| 2.1731        | 10.0501 | 4631 | 2.1665          | 0.4065   | 0.3527          | 0.3772       | 0.3215   | 0.4499             | 0.4065          | 0.3869      |
+| 1.8674        | 11.0501 | 5052 | 2.0639          | 0.4367   | 0.3765          | 0.4068       | 0.3620   | 0.4888             | 0.4367          | 0.4332      |
+| 2.1969        | 12.0501 | 5473 | 2.1350          | 0.4240   | 0.3609          | 0.3921       | 0.3439   | 0.4717             | 0.4240          | 0.4144      |
+| 1.6659        | 13.0501 | 5894 | 1.9765          | 0.4448   | 0.3715          | 0.4046       | 0.3631   | 0.4803             | 0.4448          | 0.4350      |
+| 1.9602        | 14.0501 | 6315 | 2.0385          | 0.4258   | 0.3756          | 0.3993       | 0.3537   | 0.4910             | 0.4258          | 0.4229      |
+| 1.6218        | 15.0501 | 6736 | 2.0035          | 0.4517   | 0.3815          | 0.4311       | 0.3795   | 0.4958             | 0.4517          | 0.4450      |
+| 1.6883        | 16.0501 | 7157 | 2.0044          | 0.4367   | 0.3913          | 0.4252       | 0.3795   | 0.4992             | 0.4367          | 0.4364      |
+| 1.5521        | 17.0501 | 7578 | 1.9295          | 0.4568   | 0.3847          | 0.4350       | 0.3869   | 0.4823             | 0.4568          | 0.4452      |
+| 1.5913        | 18.0501 | 7999 | 1.9850          | 0.4491   | 0.3732          | 0.4316       | 0.3804   | 0.4880             | 0.4491          | 0.4438      |
+| 1.8007        | 19.0477 | 8400 | 1.9210          | 0.4659   | 0.3938          | 0.4489       | 0.4007   | 0.4987             | 0.4659          | 0.4613      |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.1.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "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": "archery",
+    "1": "baseball",
+    "2": "basketball",
+    "3": "bmx",
+    "4": "bowling",
+    "5": "boxing",
+    "6": "cheerleading",
+    "7": "discusthrow",
+    "8": "diving",
+    "9": "football",
+    "10": "golf",
+    "11": "gymnastics",
+    "12": "hammerthrow",
+    "13": "highjump",
+    "14": "hockey",
+    "15": "hurdling",
+    "16": "javelin",
+    "17": "longjump",
+    "18": "polevault",
+    "19": "rowing",
+    "20": "running",
+    "21": "shotput",
+    "22": "skating",
+    "23": "skiing",
+    "24": "soccer",
+    "25": "swimming",
+    "26": "tennis",
+    "27": "volleyball",
+    "28": "weight",
+    "29": "wrestling"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "archery": 0,
+    "baseball": 1,
+    "basketball": 2,
+    "bmx": 3,
+    "bowling": 4,
+    "boxing": 5,
+    "cheerleading": 6,
+    "discusthrow": 7,
+    "diving": 8,
+    "football": 9,
+    "golf": 10,
+    "gymnastics": 11,
+    "hammerthrow": 12,
+    "highjump": 13,
+    "hockey": 14,
+    "hurdling": 15,
+    "javelin": 16,
+    "longjump": 17,
+    "polevault": 18,
+    "rowing": 19,
+    "running": 20,
+    "shotput": 21,
+    "skating": 22,
+    "skiing": 23,
+    "soccer": 24,
+    "swimming": 25,
+    "tennis": 26,
+    "volleyball": 27,
+    "weight": 28,
+    "wrestling": 29
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "videomae",
+  "norm_pix_loss": false,
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_frames": 16,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "tubelet_size": 2,
+  "use_mean_pooling": true
+}

model.safetensors

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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
+  }
+}

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training_args.bin

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