Model save
Browse files- README.md +72 -0
- all_results.json +8 -0
- config.json +48 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Nov06_15-28-47_dfb0c3665f64/events.out.tfevents.1699284576.dfb0c3665f64.13158.0 +3 -0
- runs/Nov06_15-48-14_dfb0c3665f64/events.out.tfevents.1699285717.dfb0c3665f64.18450.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +880 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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+
license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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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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| 8 |
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model-index:
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- name: Action_all_10_class
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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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# Action_all_10_class
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3598
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- Accuracy: 0.9017
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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: 0.0002
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- train_batch_size: 16
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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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- num_epochs: 5
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- mixed_precision_training: Native AMP
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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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| 1.1524 | 0.4 | 100 | 1.0612 | 0.6952 |
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| 54 |
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| 0.9818 | 0.8 | 200 | 0.7399 | 0.7877 |
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| 55 |
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| 0.844 | 1.2 | 300 | 0.7196 | 0.7692 |
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| 56 |
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| 0.7992 | 1.61 | 400 | 0.5383 | 0.8376 |
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| 57 |
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| 0.7203 | 2.01 | 500 | 0.5222 | 0.8390 |
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| 58 |
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| 0.5527 | 2.41 | 600 | 0.5394 | 0.8376 |
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| 59 |
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| 0.5682 | 2.81 | 700 | 0.4943 | 0.8462 |
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| 60 |
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| 0.4238 | 3.21 | 800 | 0.4441 | 0.8675 |
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| 61 |
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| 0.4684 | 3.61 | 900 | 0.4113 | 0.8846 |
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| 62 |
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| 0.4239 | 4.02 | 1000 | 0.3587 | 0.8946 |
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| 63 |
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| 0.4083 | 4.42 | 1100 | 0.3768 | 0.8832 |
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| 64 |
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| 0.3541 | 4.82 | 1200 | 0.3598 | 0.9017 |
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| 65 |
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| 66 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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| 71 |
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- Datasets 2.14.6
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| 72 |
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- Tokenizers 0.14.1
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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": 5.0,
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| 3 |
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"total_flos": 1.539101261655982e+18,
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| 4 |
+
"train_loss": 0.6643937945844658,
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| 5 |
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"train_runtime": 748.7697,
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| 6 |
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"train_samples_per_second": 26.524,
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| 7 |
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"train_steps_per_second": 1.663
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| 8 |
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}
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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| 3 |
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"architectures": [
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"ViTForImageClassification"
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| 5 |
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],
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| 6 |
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"attention_probs_dropout_prob": 0.0,
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| 7 |
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"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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| 12 |
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"0": "\u0995\u09a5\u09be_\u09ac\u09b2\u09be",
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| 13 |
+
"1": "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be",
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| 14 |
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"2": "\u0996\u09be\u0993\u09af\u09bc\u09be",
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| 15 |
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"3": "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be",
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| 16 |
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"4": "\u0998\u09c1\u09ae\u09be\u09a8\u09c7\u09be",
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| 17 |
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"5": "\u09aa\u09a1\u09bc\u09be",
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| 18 |
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"6": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
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| 19 |
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"7": "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be",
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| 20 |
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"8": "\u09b2\u09c7\u0996\u09be",
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| 21 |
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"9": "\u09b9\u09be\u0981\u099f\u09be"
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| 22 |
+
},
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| 23 |
+
"image_size": 224,
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| 24 |
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"initializer_range": 0.02,
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| 25 |
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"intermediate_size": 3072,
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| 26 |
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"label2id": {
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| 27 |
+
"\u0995\u09a5\u09be_\u09ac\u09b2\u09be": "0",
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| 28 |
+
"\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be": "1",
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| 29 |
+
"\u0996\u09be\u0993\u09af\u09bc\u09be": "2",
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| 30 |
+
"\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be": "3",
|
| 31 |
+
"\u0998\u09c1\u09ae\u09be\u09a8\u09c7\u09be": "4",
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| 32 |
+
"\u09aa\u09a1\u09bc\u09be": "5",
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| 33 |
+
"\u09aa\u09be\u09a8_\u0995\u09b0\u09be": "6",
|
| 34 |
+
"\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be": "7",
|
| 35 |
+
"\u09b2\u09c7\u0996\u09be": "8",
|
| 36 |
+
"\u09b9\u09be\u0981\u099f\u09be": "9"
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| 37 |
+
},
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| 38 |
+
"layer_norm_eps": 1e-12,
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| 39 |
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"model_type": "vit",
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| 40 |
+
"num_attention_heads": 12,
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| 41 |
+
"num_channels": 3,
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| 42 |
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"num_hidden_layers": 12,
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| 43 |
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"patch_size": 16,
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| 44 |
+
"problem_type": "single_label_classification",
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| 45 |
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"qkv_bias": true,
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| 46 |
+
"torch_dtype": "float32",
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| 47 |
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"transformers_version": "4.35.0"
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| 48 |
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}
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model.safetensors
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6363d9138987ea57aac64eafb945b3ac0b14d984633e1fb7767c771d2c14ce60
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| 3 |
+
size 343248584
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preprocessor_config.json
ADDED
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| 1 |
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{
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| 2 |
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"do_normalize": true,
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| 3 |
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"do_rescale": true,
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| 4 |
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"do_resize": true,
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| 5 |
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"image_mean": [
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| 6 |
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0.5,
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| 7 |
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0.5,
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| 8 |
+
0.5
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| 9 |
+
],
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| 10 |
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"image_processor_type": "ViTFeatureExtractor",
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| 11 |
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"image_std": [
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| 12 |
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0.5,
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| 13 |
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0.5,
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| 14 |
+
0.5
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| 15 |
+
],
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| 16 |
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"resample": 2,
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| 17 |
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"rescale_factor": 0.00392156862745098,
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| 18 |
+
"size": {
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| 19 |
+
"height": 224,
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| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
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runs/Nov06_15-28-47_dfb0c3665f64/events.out.tfevents.1699284576.dfb0c3665f64.13158.0
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d107ba01bc126303e3030ec6601d7fd8529baef4d485825e1c3bb5a1d42913e4
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| 3 |
+
size 28930
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runs/Nov06_15-48-14_dfb0c3665f64/events.out.tfevents.1699285717.dfb0c3665f64.18450.0
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ef7591ced63d1eb31098d3cf612684c3e577dfaea1ff781856b4c86a6805e7c
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| 3 |
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size 28930
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train_results.json
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{
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| 2 |
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"epoch": 5.0,
|
| 3 |
+
"total_flos": 1.539101261655982e+18,
|
| 4 |
+
"train_loss": 0.6643937945844658,
|
| 5 |
+
"train_runtime": 748.7697,
|
| 6 |
+
"train_samples_per_second": 26.524,
|
| 7 |
+
"train_steps_per_second": 1.663
|
| 8 |
+
}
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trainer_state.json
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