End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/timesformer-base-finetuned-k400
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: timesformer-base-finetuned-k400-submission
+  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. -->
+
+# timesformer-base-finetuned-k400-submission
+
+This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1785
+- Accuracy: 0.94
+
+## 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: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- 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: 1500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2307        | 0.1667 | 250  | 0.1391          | 0.96     |
+| 0.2739        | 1.1667 | 500  | 0.6467          | 0.88     |
+| 0.0006        | 2.1667 | 750  | 0.1763          | 0.96     |
+| 0.0001        | 3.1667 | 1000 | 0.1302          | 0.96     |
+| 0.0002        | 4.1667 | 1250 | 0.1326          | 0.96     |
+| 0.0001        | 5.1667 | 1500 | 0.1758          | 0.96     |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 5.166666666666667,
+    "eval_accuracy": 0.94,
+    "eval_loss": 0.1785050332546234,
+    "eval_runtime": 82.8868,
+    "eval_samples_per_second": 1.206,
+    "eval_steps_per_second": 1.206
+}

config.json

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+{
+  "_name_or_path": "facebook/timesformer-base-finetuned-k400",
+  "architectures": [
+    "MyTimesformerForVideoClassification"
+  ],
+  "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": "archery",
+    "1": "bowling",
+    "2": "flying_kite",
+    "3": "high_jump",
+    "4": "marching"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "archery": 0,
+    "bowling": 1,
+    "flying_kite": 2,
+    "high_jump": 3,
+    "marching": 4
+  },
+  "layer_norm_eps": 1e-06,
+  "model_type": "timesformer",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_frames": 10,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1"
+}

model.safetensors

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+size 485087636

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "videos",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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/May06_00-34-54_f95fdf4618de/events.out.tfevents.1714955709.f95fdf4618de.2039.0

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runs/May06_00-34-54_f95fdf4618de/events.out.tfevents.1714958082.f95fdf4618de.2039.1

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test_results.json

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+{
+    "epoch": 5.166666666666667,
+    "eval_accuracy": 0.94,
+    "eval_loss": 0.1785050332546234,
+    "eval_runtime": 82.8868,
+    "eval_samples_per_second": 1.206,
+    "eval_steps_per_second": 1.206
+}

training_args.bin

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