Training in progress, epoch 7
Browse files- README.md +63 -0
- all_results.json +7 -0
- config.json +39 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- test_results.json +7 -0
- trainer_state.json +1659 -0
- training_args.bin +3 -0
README.md
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+
---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-large
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tags:
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- generated_from_trainer
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model-index:
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- name: videomae-large-finetuned-deepfake-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-large-finetuned-deepfake-subset
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4257
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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: 2235
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7063 | 0.2 | 447 | 0.6715 |
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| 0.6721 | 1.2 | 894 | 0.6247 |
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| 0.4569 | 2.2 | 1341 | 0.6014 |
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| 0.3716 | 3.2 | 1788 | 0.5119 |
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| 0.3029 | 4.2 | 2235 | 0.4187 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 4.2,
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"eval_loss": 0.42570874094963074,
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"eval_runtime": 1996.1684,
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"eval_samples_per_second": 9.919,
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"eval_steps_per_second": 1.24
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}
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config.json
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{
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"_name_or_path": "MCG-NJU/videomae-large",
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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": 512,
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"decoder_intermediate_size": 2048,
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"decoder_num_attention_heads": 8,
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"decoder_num_hidden_layers": 12,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "deepfake",
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"1": "real"
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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": 4096,
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"label2id": {
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"deepfake": 0,
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"real": 1
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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": 16,
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"num_channels": 3,
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"num_frames": 16,
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"num_hidden_layers": 24,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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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:bca7c090098ee1563fbeadb22f3f9de079bc6dae132a1272bf784a056943d29e
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size 1215496248
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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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test_results.json
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{
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"epoch": 4.2,
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"eval_loss": 0.42570874094963074,
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"eval_runtime": 1996.1684,
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"eval_samples_per_second": 9.919,
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"eval_steps_per_second": 1.24
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}
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trainer_state.json
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