End of training
Browse files- README.md +64 -0
- all_results.json +8 -0
- config.json +55 -0
- model.safetensors +3 -0
- preprocessor_config.json +42 -0
- runs/Jun22_22-48-22_35076ae28850/events.out.tfevents.1719096505.35076ae28850.3689.0 +3 -0
- runs/Jun22_22-50-44_35076ae28850/events.out.tfevents.1719096665.35076ae28850.3689.1 +3 -0
- runs/Jun22_22-51-19_35076ae28850/events.out.tfevents.1719096690.35076ae28850.3689.2 +3 -0
- runs/Jun22_22-51-19_35076ae28850/events.out.tfevents.1719100722.35076ae28850.3689.3 +3 -0
- test_results.json +8 -0
- trainer_state.json +306 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: cc-by-nc-4.0
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| 3 |
+
base_model: MCG-NJU/videomae-base
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| 4 |
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tags:
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| 5 |
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- generated_from_trainer
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| 6 |
+
metrics:
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| 7 |
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- accuracy
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| 8 |
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model-index:
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| 9 |
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- name: videomae-base-finetuned-ucf101-subset
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| 10 |
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results: []
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| 11 |
+
---
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| 12 |
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| 13 |
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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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| 16 |
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# videomae-base-finetuned-ucf101-subset
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| 17 |
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
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- Loss: 0.3131
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| 21 |
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- Accuracy: 0.9161
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| 22 |
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## Model description
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More information needed
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## Intended uses & limitations
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| 28 |
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More information needed
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| 30 |
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## Training and evaluation data
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| 32 |
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More information needed
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| 34 |
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## Training procedure
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| 36 |
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| 37 |
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### Training hyperparameters
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 5e-05
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| 41 |
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- train_batch_size: 4
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| 42 |
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- eval_batch_size: 4
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| 43 |
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- seed: 42
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| 44 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 45 |
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- lr_scheduler_type: linear
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| 46 |
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- lr_scheduler_warmup_ratio: 0.1
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| 47 |
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- training_steps: 300
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| 48 |
+
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| 49 |
+
### Training results
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| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 52 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 53 |
+
| 1.6397 | 0.25 | 75 | 1.5641 | 0.4 |
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| 54 |
+
| 0.8215 | 1.25 | 150 | 0.8054 | 0.6429 |
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| 55 |
+
| 0.2651 | 2.25 | 225 | 0.4286 | 0.8429 |
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| 56 |
+
| 0.202 | 3.25 | 300 | 0.3048 | 0.9 |
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| 57 |
+
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| 58 |
+
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| 59 |
+
### Framework versions
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| 60 |
+
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| 61 |
+
- Transformers 4.41.2
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| 62 |
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- Pytorch 2.3.1+cu121
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| 63 |
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- Datasets 2.20.0
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| 64 |
+
- Tokenizers 0.19.1
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all_results.json
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| 1 |
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{
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| 2 |
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"epoch": 3.25,
|
| 3 |
+
"eval_accuracy": 0.9161290322580645,
|
| 4 |
+
"eval_loss": 0.3130556344985962,
|
| 5 |
+
"eval_runtime": 44.5775,
|
| 6 |
+
"eval_samples_per_second": 3.477,
|
| 7 |
+
"eval_steps_per_second": 0.875
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| 8 |
+
}
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config.json
ADDED
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| 1 |
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{
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| 2 |
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"_name_or_path": "MCG-NJU/videomae-base",
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| 3 |
+
"architectures": [
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| 4 |
+
"VideoMAEForVideoClassification"
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| 5 |
+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"decoder_hidden_size": 384,
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| 8 |
+
"decoder_intermediate_size": 1536,
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| 9 |
+
"decoder_num_attention_heads": 6,
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| 10 |
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"decoder_num_hidden_layers": 4,
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| 11 |
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"hidden_act": "gelu",
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| 12 |
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"hidden_dropout_prob": 0.0,
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| 13 |
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"hidden_size": 768,
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| 14 |
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"id2label": {
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| 15 |
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"0": "ApplyEyeMakeup",
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| 16 |
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"1": "ApplyLipstick",
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| 17 |
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"2": "Archery",
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| 18 |
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"3": "BabyCrawling",
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| 19 |
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"4": "BalanceBeam",
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| 20 |
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"5": "BandMarching",
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| 21 |
+
"6": "BaseballPitch",
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| 22 |
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"7": "Basketball",
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| 23 |
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"8": "BasketballDunk",
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| 24 |
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"9": "BenchPress"
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| 25 |
+
},
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| 26 |
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"image_size": 224,
|
| 27 |
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"initializer_range": 0.02,
|
| 28 |
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"intermediate_size": 3072,
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| 29 |
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"label2id": {
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| 30 |
+
"ApplyEyeMakeup": 0,
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| 31 |
+
"ApplyLipstick": 1,
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| 32 |
+
"Archery": 2,
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| 33 |
+
"BabyCrawling": 3,
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| 34 |
+
"BalanceBeam": 4,
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| 35 |
+
"BandMarching": 5,
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| 36 |
+
"BaseballPitch": 6,
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| 37 |
+
"Basketball": 7,
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| 38 |
+
"BasketballDunk": 8,
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| 39 |
+
"BenchPress": 9
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| 40 |
+
},
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| 41 |
+
"layer_norm_eps": 1e-12,
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| 42 |
+
"model_type": "videomae",
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| 43 |
+
"norm_pix_loss": true,
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| 44 |
+
"num_attention_heads": 12,
|
| 45 |
+
"num_channels": 3,
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| 46 |
+
"num_frames": 16,
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| 47 |
+
"num_hidden_layers": 12,
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| 48 |
+
"patch_size": 16,
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| 49 |
+
"problem_type": "single_label_classification",
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| 50 |
+
"qkv_bias": true,
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| 51 |
+
"torch_dtype": "float32",
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| 52 |
+
"transformers_version": "4.41.2",
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| 53 |
+
"tubelet_size": 2,
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| 54 |
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"use_mean_pooling": false
|
| 55 |
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}
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model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d6e5f552194670320217649faf08e0059de358c41b5160a46b3c9ae254b76b4
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| 3 |
+
size 344961984
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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| 3 |
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"videos",
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| 4 |
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"do_resize",
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| 5 |
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"size",
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| 6 |
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"resample",
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| 7 |
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"do_center_crop",
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| 8 |
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"crop_size",
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| 9 |
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"do_rescale",
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| 10 |
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"rescale_factor",
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| 11 |
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"do_normalize",
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| 12 |
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"image_mean",
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| 13 |
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"image_std",
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| 14 |
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"return_tensors",
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| 15 |
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"data_format",
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| 16 |
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"input_data_format"
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| 17 |
+
],
|
| 18 |
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"crop_size": {
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| 19 |
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"height": 224,
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| 20 |
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"width": 224
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| 21 |
+
},
|
| 22 |
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"do_center_crop": true,
|
| 23 |
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"do_normalize": true,
|
| 24 |
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"do_rescale": true,
|
| 25 |
+
"do_resize": true,
|
| 26 |
+
"image_mean": [
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| 27 |
+
0.485,
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| 28 |
+
0.456,
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| 29 |
+
0.406
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| 30 |
+
],
|
| 31 |
+
"image_processor_type": "VideoMAEImageProcessor",
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| 32 |
+
"image_std": [
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| 33 |
+
0.229,
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| 34 |
+
0.224,
|
| 35 |
+
0.225
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| 36 |
+
],
|
| 37 |
+
"resample": 2,
|
| 38 |
+
"rescale_factor": 0.00392156862745098,
|
| 39 |
+
"size": {
|
| 40 |
+
"shortest_edge": 224
|
| 41 |
+
}
|
| 42 |
+
}
|
runs/Jun22_22-48-22_35076ae28850/events.out.tfevents.1719096505.35076ae28850.3689.0
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:f8e8f031b9953ddf144ed9e7e133b143ae168578359e6d8e6d6e3712dcb85612
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| 3 |
+
size 16348
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runs/Jun22_22-50-44_35076ae28850/events.out.tfevents.1719096665.35076ae28850.3689.1
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:19f35a29adb96813698ef5020dc762c44d4c843bc84c0ae24ef030c74ef1559e
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| 3 |
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size 5507
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runs/Jun22_22-51-19_35076ae28850/events.out.tfevents.1719096690.35076ae28850.3689.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:55b514b99afc12c1cdfc806cb0dbfd3984496c3d5782e4539dbc481798126981
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| 3 |
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size 13429
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runs/Jun22_22-51-19_35076ae28850/events.out.tfevents.1719100722.35076ae28850.3689.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:06ddf6c60190867ab75076beef5c938d1909383400cdb72b9bf9f9fe2b82f456
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| 3 |
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size 734
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test_results.json
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{
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| 2 |
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"epoch": 3.25,
|
| 3 |
+
"eval_accuracy": 0.9161290322580645,
|
| 4 |
+
"eval_loss": 0.3130556344985962,
|
| 5 |
+
"eval_runtime": 44.5775,
|
| 6 |
+
"eval_samples_per_second": 3.477,
|
| 7 |
+
"eval_steps_per_second": 0.875
|
| 8 |
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}
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trainer_state.json
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