Model save
Browse files- README.md +49 -0
- config.json +54 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- runs/Mar08_07-29-53_28aca855df35/events.out.tfevents.1709883019.28aca855df35.260.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base
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tags:
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- generated_from_trainer
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model-index:
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- name: videomae-base-finetuned-ucf101-subset
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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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# videomae-base-finetuned-ucf101-subset
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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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## 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: 8
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- eval_batch_size: 8
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- seed: 42
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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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- training_steps: 148
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "MCG-NJU/videomae-base",
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"architectures": [
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"VideoMAEForVideoClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"decoder_hidden_size": 384,
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"decoder_intermediate_size": 1536,
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"decoder_num_attention_heads": 6,
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"decoder_num_hidden_layers": 4,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "ApplyEyeMakeup",
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"1": "ApplyLipstick",
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"2": "Archery",
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"3": "BabyCrawling",
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"4": "BalanceBeam",
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"5": "BandMarching",
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"6": "BaseballPitch",
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"7": "Basketball",
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"8": "BasketballDunk",
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"9": "BenchPress"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"ApplyEyeMakeup": 0,
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"ApplyLipstick": 1,
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"Archery": 2,
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"BabyCrawling": 3,
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"BalanceBeam": 4,
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"BandMarching": 5,
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"BaseballPitch": 6,
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"Basketball": 7,
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"BasketballDunk": 8,
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"BenchPress": 9
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},
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"layer_norm_eps": 1e-12,
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"model_type": "videomae",
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"norm_pix_loss": true,
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_frames": 16,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"tubelet_size": 2,
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"use_mean_pooling": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ed60da246a1badf7c2a841766972890e17a4807ce3a5fcf076eed75c102d53c
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size 344961984
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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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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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "VideoMAEImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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runs/Mar08_07-29-53_28aca855df35/events.out.tfevents.1709883019.28aca855df35.260.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea250f6362d8502a860fce7dbe06044073575c105980491314fe4ea77cfa315d
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size 4184
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:758c52fbdd7c145bffd96af7fafa679854190f82a4eac9fc65a29573cdfc0972
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size 4920
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