Training in progress, epoch 0
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
- untitled folder/README.md +111 -0
- untitled folder/all_results.json +8 -0
- untitled folder/config.json +39 -0
- untitled folder/model.safetensors +3 -0
- untitled folder/preprocessor_config.json +26 -0
- untitled folder/test_results.json +8 -0
- untitled folder/trainer_state.json +2260 -0
- untitled folder/training_args.bin +3 -0
model.safetensors
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size 1215496208
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training_args.bin
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size 4795
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size 4795
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untitled folder/README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
license: cc-by-nc-4.0
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| 4 |
+
base_model: MCG-NJU/videomae-large-finetuned-kinetics
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| 5 |
+
tags:
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| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: MAE-CT-CPC-Dicotomized-v8-n0-m1
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| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# MAE-CT-CPC-Dicotomized-v8-n0-m1
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| 18 |
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+
This model is a fine-tuned version of [MCG-NJU/videomae-large-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-large-finetuned-kinetics) on an unknown dataset.
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| 20 |
+
It achieves the following results on the evaluation set:
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| 21 |
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- Loss: 2.5946
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| 22 |
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- Accuracy: 0.5753
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| 23 |
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|
| 24 |
+
## Model description
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| 25 |
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+
More information needed
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| 27 |
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## Intended uses & limitations
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| 29 |
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| 30 |
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More information needed
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| 31 |
+
|
| 32 |
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## Training and evaluation data
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| 33 |
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|
| 34 |
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More information needed
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| 35 |
+
|
| 36 |
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## Training procedure
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| 37 |
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|
| 38 |
+
### Training hyperparameters
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| 39 |
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|
| 40 |
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The following hyperparameters were used during training:
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| 41 |
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- learning_rate: 1e-05
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| 42 |
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- train_batch_size: 4
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| 43 |
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- eval_batch_size: 4
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| 44 |
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- seed: 42
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| 45 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 46 |
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- lr_scheduler_type: linear
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| 47 |
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- lr_scheduler_warmup_ratio: 0.1
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| 48 |
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- training_steps: 2500
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| 49 |
+
|
| 50 |
+
### Training results
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| 51 |
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|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 53 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|
|
| 54 |
+
| 0.6826 | 0.0204 | 51 | 0.6157 | 0.7625 |
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| 55 |
+
| 0.6549 | 1.0204 | 102 | 0.5930 | 0.7625 |
|
| 56 |
+
| 0.6486 | 2.0204 | 153 | 0.6797 | 0.5125 |
|
| 57 |
+
| 0.5595 | 3.0204 | 204 | 0.4902 | 0.6625 |
|
| 58 |
+
| 0.5586 | 4.0204 | 255 | 0.8195 | 0.475 |
|
| 59 |
+
| 0.4565 | 5.0204 | 306 | 0.5872 | 0.75 |
|
| 60 |
+
| 0.3697 | 6.0204 | 357 | 0.5017 | 0.775 |
|
| 61 |
+
| 0.6201 | 7.0204 | 408 | 0.6555 | 0.7 |
|
| 62 |
+
| 0.4333 | 8.0204 | 459 | 1.2277 | 0.6125 |
|
| 63 |
+
| 0.2148 | 9.0204 | 510 | 0.8115 | 0.7625 |
|
| 64 |
+
| 0.9458 | 10.0204 | 561 | 0.9873 | 0.6625 |
|
| 65 |
+
| 0.0651 | 11.0204 | 612 | 1.0840 | 0.7625 |
|
| 66 |
+
| 0.5756 | 12.0204 | 663 | 1.0489 | 0.8 |
|
| 67 |
+
| 0.354 | 13.0204 | 714 | 1.1601 | 0.7875 |
|
| 68 |
+
| 0.2888 | 14.0204 | 765 | 1.8144 | 0.625 |
|
| 69 |
+
| 0.2449 | 15.0204 | 816 | 1.3988 | 0.7125 |
|
| 70 |
+
| 0.1326 | 16.0204 | 867 | 1.7152 | 0.7125 |
|
| 71 |
+
| 0.0018 | 17.0204 | 918 | 2.1475 | 0.6375 |
|
| 72 |
+
| 0.3631 | 18.0204 | 969 | 1.8957 | 0.65 |
|
| 73 |
+
| 0.1252 | 19.0204 | 1020 | 1.1246 | 0.825 |
|
| 74 |
+
| 0.0943 | 20.0204 | 1071 | 1.9498 | 0.6625 |
|
| 75 |
+
| 0.3488 | 21.0204 | 1122 | 1.3457 | 0.7875 |
|
| 76 |
+
| 0.0008 | 22.0204 | 1173 | 1.7872 | 0.7125 |
|
| 77 |
+
| 0.009 | 23.0204 | 1224 | 1.5437 | 0.75 |
|
| 78 |
+
| 0.0274 | 24.0204 | 1275 | 1.9865 | 0.6875 |
|
| 79 |
+
| 0.0004 | 25.0204 | 1326 | 1.5100 | 0.7625 |
|
| 80 |
+
| 0.1007 | 26.0204 | 1377 | 1.9590 | 0.6875 |
|
| 81 |
+
| 0.0006 | 27.0204 | 1428 | 1.8346 | 0.7125 |
|
| 82 |
+
| 0.0006 | 28.0204 | 1479 | 1.4669 | 0.825 |
|
| 83 |
+
| 0.0001 | 29.0204 | 1530 | 1.5396 | 0.7875 |
|
| 84 |
+
| 0.0002 | 30.0204 | 1581 | 1.5716 | 0.7875 |
|
| 85 |
+
| 0.0001 | 31.0204 | 1632 | 1.6614 | 0.7625 |
|
| 86 |
+
| 0.0002 | 32.0204 | 1683 | 1.6356 | 0.7625 |
|
| 87 |
+
| 0.0001 | 33.0204 | 1734 | 1.5731 | 0.8 |
|
| 88 |
+
| 0.0001 | 34.0204 | 1785 | 2.0020 | 0.725 |
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| 89 |
+
| 0.0001 | 35.0204 | 1836 | 1.8886 | 0.75 |
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| 90 |
+
| 0.0001 | 36.0204 | 1887 | 1.8363 | 0.75 |
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| 91 |
+
| 0.0001 | 37.0204 | 1938 | 1.6848 | 0.7625 |
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| 92 |
+
| 0.0001 | 38.0204 | 1989 | 1.7188 | 0.75 |
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| 93 |
+
| 0.0001 | 39.0204 | 2040 | 1.5820 | 0.8 |
|
| 94 |
+
| 0.0001 | 40.0204 | 2091 | 1.6061 | 0.7875 |
|
| 95 |
+
| 0.0001 | 41.0204 | 2142 | 2.2817 | 0.7 |
|
| 96 |
+
| 0.0001 | 42.0204 | 2193 | 2.1015 | 0.725 |
|
| 97 |
+
| 0.0001 | 43.0204 | 2244 | 1.6356 | 0.775 |
|
| 98 |
+
| 0.0001 | 44.0204 | 2295 | 1.5849 | 0.8125 |
|
| 99 |
+
| 0.0001 | 45.0204 | 2346 | 1.6463 | 0.775 |
|
| 100 |
+
| 0.0001 | 46.0204 | 2397 | 1.6641 | 0.775 |
|
| 101 |
+
| 0.0001 | 47.0204 | 2448 | 1.6123 | 0.7875 |
|
| 102 |
+
| 0.0001 | 48.0204 | 2499 | 1.6145 | 0.7875 |
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| 103 |
+
| 0.0001 | 49.0004 | 2500 | 1.6145 | 0.7875 |
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| 104 |
+
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| 105 |
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+
### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.0.1+cu117
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| 110 |
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- Datasets 3.0.1
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| 111 |
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- Tokenizers 0.20.0
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untitled folder/all_results.json
ADDED
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@@ -0,0 +1,8 @@
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| 1 |
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{
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| 2 |
+
"epoch": 49.0004,
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| 3 |
+
"eval_accuracy": 0.5753424657534246,
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| 4 |
+
"eval_loss": 2.5945777893066406,
|
| 5 |
+
"eval_runtime": 14.1475,
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| 6 |
+
"eval_samples_per_second": 5.16,
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| 7 |
+
"eval_steps_per_second": 1.343
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}
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untitled folder/config.json
ADDED
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@@ -0,0 +1,39 @@
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{
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"_name_or_path": "MCG-NJU/videomae-large-finetuned-kinetics",
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| 3 |
+
"architectures": [
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| 4 |
+
"VideoMAEForVideoClassification"
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+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.0,
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| 7 |
+
"decoder_hidden_size": 512,
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| 8 |
+
"decoder_intermediate_size": 2048,
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| 9 |
+
"decoder_num_attention_heads": 8,
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| 10 |
+
"decoder_num_hidden_layers": 12,
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| 11 |
+
"hidden_act": "gelu",
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| 12 |
+
"hidden_dropout_prob": 0.0,
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| 13 |
+
"hidden_size": 1024,
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| 14 |
+
"id2label": {
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| 15 |
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"0": "0",
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| 16 |
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"1": "1"
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| 17 |
+
},
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| 18 |
+
"image_size": 224,
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| 19 |
+
"initializer_range": 0.02,
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| 20 |
+
"intermediate_size": 4096,
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| 21 |
+
"label2id": {
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| 22 |
+
"0": 0,
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| 23 |
+
"1": 1
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| 24 |
+
},
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| 25 |
+
"layer_norm_eps": 1e-12,
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| 26 |
+
"model_type": "videomae",
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| 27 |
+
"norm_pix_loss": true,
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| 28 |
+
"num_attention_heads": 16,
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| 29 |
+
"num_channels": 3,
|
| 30 |
+
"num_frames": 16,
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| 31 |
+
"num_hidden_layers": 24,
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| 32 |
+
"patch_size": 16,
|
| 33 |
+
"problem_type": "single_label_classification",
|
| 34 |
+
"qkv_bias": true,
|
| 35 |
+
"torch_dtype": "float32",
|
| 36 |
+
"transformers_version": "4.45.2",
|
| 37 |
+
"tubelet_size": 2,
|
| 38 |
+
"use_mean_pooling": true
|
| 39 |
+
}
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untitled folder/model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e4077091573c364867a7176d1e3d95e1ad388200a32ecf60529210a9d9b33a46
|
| 3 |
+
size 1215496208
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untitled folder/preprocessor_config.json
ADDED
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{
|
| 2 |
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"crop_size": {
|
| 3 |
+
"height": 224,
|
| 4 |
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"width": 224
|
| 5 |
+
},
|
| 6 |
+
"do_center_crop": true,
|
| 7 |
+
"do_normalize": true,
|
| 8 |
+
"do_rescale": true,
|
| 9 |
+
"do_resize": true,
|
| 10 |
+
"image_mean": [
|
| 11 |
+
0.485,
|
| 12 |
+
0.456,
|
| 13 |
+
0.406
|
| 14 |
+
],
|
| 15 |
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"image_processor_type": "VideoMAEImageProcessor",
|
| 16 |
+
"image_std": [
|
| 17 |
+
0.229,
|
| 18 |
+
0.224,
|
| 19 |
+
0.225
|
| 20 |
+
],
|
| 21 |
+
"resample": 2,
|
| 22 |
+
"rescale_factor": 0.00392156862745098,
|
| 23 |
+
"size": {
|
| 24 |
+
"shortest_edge": 224
|
| 25 |
+
}
|
| 26 |
+
}
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untitled folder/test_results.json
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{
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| 2 |
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"epoch": 49.0004,
|
| 3 |
+
"eval_accuracy": 0.5753424657534246,
|
| 4 |
+
"eval_loss": 2.5945777893066406,
|
| 5 |
+
"eval_runtime": 14.1475,
|
| 6 |
+
"eval_samples_per_second": 5.16,
|
| 7 |
+
"eval_steps_per_second": 1.343
|
| 8 |
+
}
|
untitled folder/trainer_state.json
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|
untitled folder/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
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|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:979583a587418900b85749155a2a538a0b17f27897d5482f9208a0bf6677846d
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| 3 |
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size 4795
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