End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k600
+tags:
+- generated_from_trainer
+model-index:
+- name: model_timesformer_subset_01
+  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. -->
+
+# model_timesformer_subset_01
+
+This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k600](https://huggingface.co/facebook/timesformer-base-finetuned-k600) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 3.0706
+- eval_accuracy: 0.0665
+- eval_runtime: 321.0045
+- eval_samples_per_second: 6.23
+- eval_steps_per_second: 0.779
+- step: 0
+
+## 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: 4000
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "facebook/timesformer-base-finetuned-k600",
+  "architectures": [
+    "TimesformerForVideoClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "attention_type": "divided_space_time",
+  "drop_path_rate": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "music",
+    "1": "people",
+    "2": "gaming",
+    "3": "sports/actions",
+    "4": "news/events/politics",
+    "5": "education",
+    "6": "tv shows",
+    "7": "movie/comedy",
+    "8": "animation",
+    "9": "vehicles/autos",
+    "10": "howto",
+    "11": "travel",
+    "12": "science/technology",
+    "13": "animals/pets",
+    "14": "kids/family",
+    "15": "documentary",
+    "16": "food/drink",
+    "17": "cooking",
+    "18": "beauty/fashion",
+    "19": "advertisement"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "advertisement": 19,
+    "animals/pets": 13,
+    "animation": 8,
+    "beauty/fashion": 18,
+    "cooking": 17,
+    "documentary": 15,
+    "education": 5,
+    "food/drink": 16,
+    "gaming": 2,
+    "howto": 10,
+    "kids/family": 14,
+    "movie/comedy": 7,
+    "music": 0,
+    "news/events/politics": 4,
+    "people": 1,
+    "science/technology": 12,
+    "sports/actions": 3,
+    "travel": 11,
+    "tv shows": 6,
+    "vehicles/autos": 9
+  },
+  "layer_norm_eps": 1e-06,
+  "model_type": "timesformer",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_frames": 8,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a97a3888da6404345ef9afe03b166fe57b48ae3c5fd82f07275686cfc1a15cad
+size 485127632

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/Mar04_03-45-40_58adcd4d081e/events.out.tfevents.1709524268.58adcd4d081e.34.0

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+size 346

training_args.bin

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