End of training
Browse files- README.md +82 -0
- all_results.json +13 -0
- config.json +58 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Dec10_11-10-30_1ca383c7b033/events.out.tfevents.1702206785.1ca383c7b033.7463.0 +3 -0
- runs/Dec10_11-10-30_1ca383c7b033/events.out.tfevents.1702207216.1ca383c7b033.7463.1 +3 -0
- runs/Dec10_11-31-28_1ca383c7b033/events.out.tfevents.1702207892.1ca383c7b033.7463.2 +3 -0
- runs/Dec10_11-32-31_1ca383c7b033/events.out.tfevents.1702207955.1ca383c7b033.13158.0 +3 -0
- runs/Dec10_11-36-26_1ca383c7b033/events.out.tfevents.1702208191.1ca383c7b033.14225.0 +3 -0
- runs/Dec10_11-36-26_1ca383c7b033/events.out.tfevents.1702209262.1ca383c7b033.14225.1 +3 -0
- runs/Dec10_11-59-18_1ca383c7b033/events.out.tfevents.1702209564.1ca383c7b033.20107.0 +3 -0
- runs/Dec10_12-02-18_1ca383c7b033/events.out.tfevents.1702209743.1ca383c7b033.20945.0 +3 -0
- runs/Dec10_12-30-16_1ca383c7b033/events.out.tfevents.1702211423.1ca383c7b033.28198.0 +3 -0
- runs/Dec10_12-30-16_1ca383c7b033/events.out.tfevents.1702218768.1ca383c7b033.28198.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +328 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Human-Action-Recognition-VIT-Base-patch16-224
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Human-Action-Recognition-VIT-Base-patch16-224
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4005
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- Accuracy: 0.8786
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.6396 | 0.99 | 39 | 2.0436 | 0.4425 |
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| 56 |
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| 1.4579 | 2.0 | 79 | 0.7553 | 0.7917 |
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| 57 |
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| 0.8342 | 2.99 | 118 | 0.5296 | 0.8417 |
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| 58 |
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| 0.6649 | 4.0 | 158 | 0.4978 | 0.8496 |
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| 59 |
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| 0.6137 | 4.99 | 197 | 0.4460 | 0.8595 |
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| 60 |
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| 0.5374 | 6.0 | 237 | 0.4356 | 0.8627 |
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| 61 |
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| 0.514 | 6.99 | 276 | 0.4349 | 0.8615 |
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| 62 |
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| 0.475 | 8.0 | 316 | 0.4005 | 0.8786 |
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| 63 |
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| 0.4663 | 8.99 | 355 | 0.4164 | 0.8659 |
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| 64 |
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| 0.4178 | 10.0 | 395 | 0.4128 | 0.8738 |
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| 65 |
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| 0.4226 | 10.99 | 434 | 0.4115 | 0.8690 |
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| 66 |
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| 0.3896 | 12.0 | 474 | 0.4112 | 0.875 |
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| 67 |
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| 0.3866 | 12.99 | 513 | 0.4072 | 0.8714 |
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| 0.3632 | 14.0 | 553 | 0.4106 | 0.8718 |
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| 0.3596 | 14.99 | 592 | 0.4043 | 0.8714 |
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| 0.3421 | 16.0 | 632 | 0.4128 | 0.8675 |
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| 0.344 | 16.99 | 671 | 0.4181 | 0.8643 |
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| 0.3447 | 18.0 | 711 | 0.4128 | 0.8687 |
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| 0.3407 | 18.99 | 750 | 0.4097 | 0.8714 |
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| 0.3267 | 19.75 | 780 | 0.4097 | 0.8683 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 19.75,
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| 3 |
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"eval_accuracy": 0.8785714285714286,
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| 4 |
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"eval_loss": 0.4005189836025238,
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| 5 |
+
"eval_runtime": 34.3244,
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| 6 |
+
"eval_samples_per_second": 73.417,
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| 7 |
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"eval_steps_per_second": 1.165,
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| 8 |
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"total_flos": 1.5428282771770638e+19,
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| 9 |
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"train_loss": 0.6146706715608254,
|
| 10 |
+
"train_runtime": 7303.7952,
|
| 11 |
+
"train_samples_per_second": 27.602,
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| 12 |
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"train_steps_per_second": 0.107
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| 13 |
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}
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config.json
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| 1 |
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{
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| 2 |
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"_name_or_path": "google/vit-base-patch16-224",
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| 3 |
+
"architectures": [
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| 4 |
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"ViTForImageClassification"
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| 5 |
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],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"encoder_stride": 16,
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| 8 |
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"hidden_act": "gelu",
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| 9 |
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"hidden_dropout_prob": 0.0,
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| 10 |
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"hidden_size": 768,
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| 11 |
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"id2label": {
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"0": "calling",
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"1": "clapping",
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"2": "cycling",
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"3": "dancing",
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"4": "drinking",
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"5": "eating",
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"6": "fighting",
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"7": "hugging",
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"8": "laughing",
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"9": "listening_to_music",
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"10": "running",
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"11": "sitting",
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"12": "sleeping",
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"13": "texting",
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"14": "using_laptop"
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| 27 |
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},
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"image_size": 224,
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"initializer_range": 0.02,
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| 30 |
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"intermediate_size": 3072,
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| 31 |
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"label2id": {
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| 32 |
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"calling": 0,
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| 33 |
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"clapping": 1,
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"cycling": 2,
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"dancing": 3,
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| 36 |
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"drinking": 4,
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| 37 |
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"eating": 5,
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| 38 |
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"fighting": 6,
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| 39 |
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"hugging": 7,
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| 40 |
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"laughing": 8,
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| 41 |
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"listening_to_music": 9,
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| 42 |
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"running": 10,
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| 43 |
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"sitting": 11,
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| 44 |
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"sleeping": 12,
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| 45 |
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"texting": 13,
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| 46 |
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"using_laptop": 14
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},
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| 48 |
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"layer_norm_eps": 1e-12,
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| 49 |
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"model_type": "vit",
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| 50 |
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"num_attention_heads": 12,
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| 51 |
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"num_channels": 3,
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"num_hidden_layers": 12,
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| 53 |
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"patch_size": 16,
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| 54 |
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"problem_type": "single_label_classification",
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| 55 |
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"qkv_bias": true,
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| 56 |
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"torch_dtype": "float32",
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| 57 |
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"transformers_version": "4.35.2"
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| 58 |
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}
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eval_results.json
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{
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| 2 |
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"epoch": 19.75,
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| 3 |
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"eval_accuracy": 0.8785714285714286,
|
| 4 |
+
"eval_loss": 0.4005189836025238,
|
| 5 |
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"eval_runtime": 34.3244,
|
| 6 |
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"eval_samples_per_second": 73.417,
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| 7 |
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"eval_steps_per_second": 1.165
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}
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model.safetensors
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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"size": {
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"height": 224,
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| 21 |
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| 22 |
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 4600
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