Upload folder using huggingface_hub
Browse files- checkpoint-10020/config.json +76 -0
- checkpoint-10020/model.safetensors +3 -0
- checkpoint-10020/optimizer.pt +3 -0
- checkpoint-10020/preprocessor_config.json +22 -0
- checkpoint-10020/rng_state.pth +3 -0
- checkpoint-10020/scheduler.pt +3 -0
- checkpoint-10020/trainer_state.json +409 -0
- checkpoint-10020/training_args.bin +3 -0
- config.json +76 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
    	
        checkpoint-10020/config.json
    ADDED
    
    | @@ -0,0 +1,76 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "_name_or_path": "google/vit-base-patch16-224-in21k",
         | 
| 3 | 
            +
              "architectures": [
         | 
| 4 | 
            +
                "ViTForImageClassification"
         | 
| 5 | 
            +
              ],
         | 
| 6 | 
            +
              "attention_probs_dropout_prob": 0.0,
         | 
| 7 | 
            +
              "encoder_stride": 16,
         | 
| 8 | 
            +
              "hidden_act": "gelu",
         | 
| 9 | 
            +
              "hidden_dropout_prob": 0.0,
         | 
| 10 | 
            +
              "hidden_size": 768,
         | 
| 11 | 
            +
              "id2label": {
         | 
| 12 | 
            +
                "0": "01",
         | 
| 13 | 
            +
                "1": "02",
         | 
| 14 | 
            +
                "2": "03",
         | 
| 15 | 
            +
                "3": "04",
         | 
| 16 | 
            +
                "4": "05",
         | 
| 17 | 
            +
                "5": "06-07",
         | 
| 18 | 
            +
                "6": "08-09",
         | 
| 19 | 
            +
                "7": "08-9",
         | 
| 20 | 
            +
                "8": "10-12",
         | 
| 21 | 
            +
                "9": "13-15",
         | 
| 22 | 
            +
                "10": "16-20",
         | 
| 23 | 
            +
                "11": "21-25",
         | 
| 24 | 
            +
                "12": "26-30",
         | 
| 25 | 
            +
                "13": "31-35",
         | 
| 26 | 
            +
                "14": "36-40",
         | 
| 27 | 
            +
                "15": "41-45",
         | 
| 28 | 
            +
                "16": "46-50",
         | 
| 29 | 
            +
                "17": "51-55",
         | 
| 30 | 
            +
                "18": "56-60",
         | 
| 31 | 
            +
                "19": "61-65",
         | 
| 32 | 
            +
                "20": "66-70",
         | 
| 33 | 
            +
                "21": "71-80",
         | 
| 34 | 
            +
                "22": "81-90",
         | 
| 35 | 
            +
                "23": "90+"
         | 
| 36 | 
            +
              },
         | 
| 37 | 
            +
              "image_size": 224,
         | 
| 38 | 
            +
              "initializer_range": 0.02,
         | 
| 39 | 
            +
              "intermediate_size": 3072,
         | 
| 40 | 
            +
              "label2id": {
         | 
| 41 | 
            +
                "01": 0,
         | 
| 42 | 
            +
                "02": 1,
         | 
| 43 | 
            +
                "03": 2,
         | 
| 44 | 
            +
                "04": 3,
         | 
| 45 | 
            +
                "05": 4,
         | 
| 46 | 
            +
                "06-07": 5,
         | 
| 47 | 
            +
                "08-09": 6,
         | 
| 48 | 
            +
                "08-9": 7,
         | 
| 49 | 
            +
                "10-12": 8,
         | 
| 50 | 
            +
                "13-15": 9,
         | 
| 51 | 
            +
                "16-20": 10,
         | 
| 52 | 
            +
                "21-25": 11,
         | 
| 53 | 
            +
                "26-30": 12,
         | 
| 54 | 
            +
                "31-35": 13,
         | 
| 55 | 
            +
                "36-40": 14,
         | 
| 56 | 
            +
                "41-45": 15,
         | 
| 57 | 
            +
                "46-50": 16,
         | 
| 58 | 
            +
                "51-55": 17,
         | 
| 59 | 
            +
                "56-60": 18,
         | 
| 60 | 
            +
                "61-65": 19,
         | 
| 61 | 
            +
                "66-70": 20,
         | 
| 62 | 
            +
                "71-80": 21,
         | 
| 63 | 
            +
                "81-90": 22,
         | 
| 64 | 
            +
                "90+": 23
         | 
| 65 | 
            +
              },
         | 
| 66 | 
            +
              "layer_norm_eps": 1e-12,
         | 
| 67 | 
            +
              "model_type": "vit",
         | 
| 68 | 
            +
              "num_attention_heads": 12,
         | 
| 69 | 
            +
              "num_channels": 3,
         | 
| 70 | 
            +
              "num_hidden_layers": 12,
         | 
| 71 | 
            +
              "patch_size": 16,
         | 
| 72 | 
            +
              "problem_type": "single_label_classification",
         | 
| 73 | 
            +
              "qkv_bias": true,
         | 
| 74 | 
            +
              "torch_dtype": "float32",
         | 
| 75 | 
            +
              "transformers_version": "4.35.0"
         | 
| 76 | 
            +
            }
         | 
    	
        checkpoint-10020/model.safetensors
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:a22def0831c81660cca9db86c3bae57d49fe05506dfb7beb2270c5fa8af17134
         | 
| 3 | 
            +
            size 343291648
         | 
    	
        checkpoint-10020/optimizer.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:a0b3a93ae9e09ed9eb7cc6058f798ce868ab29eb10fb8973d849dc206eb76698
         | 
| 3 | 
            +
            size 686703749
         | 
    	
        checkpoint-10020/preprocessor_config.json
    ADDED
    
    | @@ -0,0 +1,22 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "do_normalize": true,
         | 
| 3 | 
            +
              "do_rescale": true,
         | 
| 4 | 
            +
              "do_resize": true,
         | 
| 5 | 
            +
              "image_mean": [
         | 
| 6 | 
            +
                0.5,
         | 
| 7 | 
            +
                0.5,
         | 
| 8 | 
            +
                0.5
         | 
| 9 | 
            +
              ],
         | 
| 10 | 
            +
              "image_processor_type": "ViTImageProcessor",
         | 
| 11 | 
            +
              "image_std": [
         | 
| 12 | 
            +
                0.5,
         | 
| 13 | 
            +
                0.5,
         | 
| 14 | 
            +
                0.5
         | 
| 15 | 
            +
              ],
         | 
| 16 | 
            +
              "resample": 2,
         | 
| 17 | 
            +
              "rescale_factor": 0.00392156862745098,
         | 
| 18 | 
            +
              "size": {
         | 
| 19 | 
            +
                "height": 224,
         | 
| 20 | 
            +
                "width": 224
         | 
| 21 | 
            +
              }
         | 
| 22 | 
            +
            }
         | 
    	
        checkpoint-10020/rng_state.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:410805409324550af0798c0afed9543ad0b881f9bf774cb384d5ee67814b7d81
         | 
| 3 | 
            +
            size 14575
         | 
    	
        checkpoint-10020/scheduler.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:e0255b0e5a00ff6081c15a6e17f322afdbc6a194dae395bcfe0e6a366fb97361
         | 
| 3 | 
            +
            size 627
         | 
    	
        checkpoint-10020/trainer_state.json
    ADDED
    
    | @@ -0,0 +1,409 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "best_metric": 1.6296087503433228,
         | 
| 3 | 
            +
              "best_model_checkpoint": "facial_age_image_detection/checkpoint-10020",
         | 
| 4 | 
            +
              "epoch": 30.0,
         | 
| 5 | 
            +
              "eval_steps": 500,
         | 
| 6 | 
            +
              "global_step": 10020,
         | 
| 7 | 
            +
              "is_hyper_param_search": false,
         | 
| 8 | 
            +
              "is_local_process_zero": true,
         | 
| 9 | 
            +
              "is_world_process_zero": true,
         | 
| 10 | 
            +
              "log_history": [
         | 
| 11 | 
            +
                {
         | 
| 12 | 
            +
                  "epoch": 1.0,
         | 
| 13 | 
            +
                  "eval_accuracy": 0.24297489696515548,
         | 
| 14 | 
            +
                  "eval_loss": 2.9744021892547607,
         | 
| 15 | 
            +
                  "eval_runtime": 52.2658,
         | 
| 16 | 
            +
                  "eval_samples_per_second": 102.132,
         | 
| 17 | 
            +
                  "eval_steps_per_second": 3.195,
         | 
| 18 | 
            +
                  "step": 334
         | 
| 19 | 
            +
                },
         | 
| 20 | 
            +
                {
         | 
| 21 | 
            +
                  "epoch": 1.5,
         | 
| 22 | 
            +
                  "learning_rate": 2.864593781344032e-06,
         | 
| 23 | 
            +
                  "loss": 2.9888,
         | 
| 24 | 
            +
                  "step": 500
         | 
| 25 | 
            +
                },
         | 
| 26 | 
            +
                {
         | 
| 27 | 
            +
                  "epoch": 2.0,
         | 
| 28 | 
            +
                  "eval_accuracy": 0.29674035219183215,
         | 
| 29 | 
            +
                  "eval_loss": 2.684274673461914,
         | 
| 30 | 
            +
                  "eval_runtime": 53.0339,
         | 
| 31 | 
            +
                  "eval_samples_per_second": 100.653,
         | 
| 32 | 
            +
                  "eval_steps_per_second": 3.149,
         | 
| 33 | 
            +
                  "step": 668
         | 
| 34 | 
            +
                },
         | 
| 35 | 
            +
                {
         | 
| 36 | 
            +
                  "epoch": 2.99,
         | 
| 37 | 
            +
                  "learning_rate": 2.714142427281846e-06,
         | 
| 38 | 
            +
                  "loss": 2.5675,
         | 
| 39 | 
            +
                  "step": 1000
         | 
| 40 | 
            +
                },
         | 
| 41 | 
            +
                {
         | 
| 42 | 
            +
                  "epoch": 3.0,
         | 
| 43 | 
            +
                  "eval_accuracy": 0.31997002622705134,
         | 
| 44 | 
            +
                  "eval_loss": 2.4912328720092773,
         | 
| 45 | 
            +
                  "eval_runtime": 52.2504,
         | 
| 46 | 
            +
                  "eval_samples_per_second": 102.162,
         | 
| 47 | 
            +
                  "eval_steps_per_second": 3.196,
         | 
| 48 | 
            +
                  "step": 1002
         | 
| 49 | 
            +
                },
         | 
| 50 | 
            +
                {
         | 
| 51 | 
            +
                  "epoch": 4.0,
         | 
| 52 | 
            +
                  "eval_accuracy": 0.3405769951292619,
         | 
| 53 | 
            +
                  "eval_loss": 2.3644516468048096,
         | 
| 54 | 
            +
                  "eval_runtime": 52.2527,
         | 
| 55 | 
            +
                  "eval_samples_per_second": 102.157,
         | 
| 56 | 
            +
                  "eval_steps_per_second": 3.196,
         | 
| 57 | 
            +
                  "step": 1336
         | 
| 58 | 
            +
                },
         | 
| 59 | 
            +
                {
         | 
| 60 | 
            +
                  "epoch": 4.49,
         | 
| 61 | 
            +
                  "learning_rate": 2.5636910732196588e-06,
         | 
| 62 | 
            +
                  "loss": 2.3316,
         | 
| 63 | 
            +
                  "step": 1500
         | 
| 64 | 
            +
                },
         | 
| 65 | 
            +
                {
         | 
| 66 | 
            +
                  "epoch": 5.0,
         | 
| 67 | 
            +
                  "eval_accuracy": 0.3621206444361184,
         | 
| 68 | 
            +
                  "eval_loss": 2.266845226287842,
         | 
| 69 | 
            +
                  "eval_runtime": 52.3012,
         | 
| 70 | 
            +
                  "eval_samples_per_second": 102.063,
         | 
| 71 | 
            +
                  "eval_steps_per_second": 3.193,
         | 
| 72 | 
            +
                  "step": 1670
         | 
| 73 | 
            +
                },
         | 
| 74 | 
            +
                {
         | 
| 75 | 
            +
                  "epoch": 5.99,
         | 
| 76 | 
            +
                  "learning_rate": 2.4132397191574725e-06,
         | 
| 77 | 
            +
                  "loss": 2.185,
         | 
| 78 | 
            +
                  "step": 2000
         | 
| 79 | 
            +
                },
         | 
| 80 | 
            +
                {
         | 
| 81 | 
            +
                  "epoch": 6.0,
         | 
| 82 | 
            +
                  "eval_accuracy": 0.3831022855001873,
         | 
| 83 | 
            +
                  "eval_loss": 2.1891231536865234,
         | 
| 84 | 
            +
                  "eval_runtime": 53.1986,
         | 
| 85 | 
            +
                  "eval_samples_per_second": 100.341,
         | 
| 86 | 
            +
                  "eval_steps_per_second": 3.139,
         | 
| 87 | 
            +
                  "step": 2004
         | 
| 88 | 
            +
                },
         | 
| 89 | 
            +
                {
         | 
| 90 | 
            +
                  "epoch": 7.0,
         | 
| 91 | 
            +
                  "eval_accuracy": 0.3939677781940802,
         | 
| 92 | 
            +
                  "eval_loss": 2.124483346939087,
         | 
| 93 | 
            +
                  "eval_runtime": 54.0657,
         | 
| 94 | 
            +
                  "eval_samples_per_second": 98.732,
         | 
| 95 | 
            +
                  "eval_steps_per_second": 3.089,
         | 
| 96 | 
            +
                  "step": 2338
         | 
| 97 | 
            +
                },
         | 
| 98 | 
            +
                {
         | 
| 99 | 
            +
                  "epoch": 7.49,
         | 
| 100 | 
            +
                  "learning_rate": 2.262788365095286e-06,
         | 
| 101 | 
            +
                  "loss": 2.0759,
         | 
| 102 | 
            +
                  "step": 2500
         | 
| 103 | 
            +
                },
         | 
| 104 | 
            +
                {
         | 
| 105 | 
            +
                  "epoch": 8.0,
         | 
| 106 | 
            +
                  "eval_accuracy": 0.40764331210191085,
         | 
| 107 | 
            +
                  "eval_loss": 2.0697174072265625,
         | 
| 108 | 
            +
                  "eval_runtime": 52.3282,
         | 
| 109 | 
            +
                  "eval_samples_per_second": 102.01,
         | 
| 110 | 
            +
                  "eval_steps_per_second": 3.191,
         | 
| 111 | 
            +
                  "step": 2672
         | 
| 112 | 
            +
                },
         | 
| 113 | 
            +
                {
         | 
| 114 | 
            +
                  "epoch": 8.98,
         | 
| 115 | 
            +
                  "learning_rate": 2.1123370110330997e-06,
         | 
| 116 | 
            +
                  "loss": 1.9878,
         | 
| 117 | 
            +
                  "step": 3000
         | 
| 118 | 
            +
                },
         | 
| 119 | 
            +
                {
         | 
| 120 | 
            +
                  "epoch": 9.0,
         | 
| 121 | 
            +
                  "eval_accuracy": 0.4194454852004496,
         | 
| 122 | 
            +
                  "eval_loss": 2.019850015640259,
         | 
| 123 | 
            +
                  "eval_runtime": 52.333,
         | 
| 124 | 
            +
                  "eval_samples_per_second": 102.001,
         | 
| 125 | 
            +
                  "eval_steps_per_second": 3.191,
         | 
| 126 | 
            +
                  "step": 3006
         | 
| 127 | 
            +
                },
         | 
| 128 | 
            +
                {
         | 
| 129 | 
            +
                  "epoch": 10.0,
         | 
| 130 | 
            +
                  "eval_accuracy": 0.43368302735106784,
         | 
| 131 | 
            +
                  "eval_loss": 1.9797377586364746,
         | 
| 132 | 
            +
                  "eval_runtime": 52.4208,
         | 
| 133 | 
            +
                  "eval_samples_per_second": 101.83,
         | 
| 134 | 
            +
                  "eval_steps_per_second": 3.186,
         | 
| 135 | 
            +
                  "step": 3340
         | 
| 136 | 
            +
                },
         | 
| 137 | 
            +
                {
         | 
| 138 | 
            +
                  "epoch": 10.48,
         | 
| 139 | 
            +
                  "learning_rate": 1.9618856569709126e-06,
         | 
| 140 | 
            +
                  "loss": 1.9168,
         | 
| 141 | 
            +
                  "step": 3500
         | 
| 142 | 
            +
                },
         | 
| 143 | 
            +
                {
         | 
| 144 | 
            +
                  "epoch": 11.0,
         | 
| 145 | 
            +
                  "eval_accuracy": 0.43349569127013865,
         | 
| 146 | 
            +
                  "eval_loss": 1.9416717290878296,
         | 
| 147 | 
            +
                  "eval_runtime": 52.2275,
         | 
| 148 | 
            +
                  "eval_samples_per_second": 102.207,
         | 
| 149 | 
            +
                  "eval_steps_per_second": 3.198,
         | 
| 150 | 
            +
                  "step": 3674
         | 
| 151 | 
            +
                },
         | 
| 152 | 
            +
                {
         | 
| 153 | 
            +
                  "epoch": 11.98,
         | 
| 154 | 
            +
                  "learning_rate": 1.8114343029087262e-06,
         | 
| 155 | 
            +
                  "loss": 1.8504,
         | 
| 156 | 
            +
                  "step": 4000
         | 
| 157 | 
            +
                },
         | 
| 158 | 
            +
                {
         | 
| 159 | 
            +
                  "epoch": 12.0,
         | 
| 160 | 
            +
                  "eval_accuracy": 0.45185462720119896,
         | 
| 161 | 
            +
                  "eval_loss": 1.9020978212356567,
         | 
| 162 | 
            +
                  "eval_runtime": 52.0691,
         | 
| 163 | 
            +
                  "eval_samples_per_second": 102.518,
         | 
| 164 | 
            +
                  "eval_steps_per_second": 3.207,
         | 
| 165 | 
            +
                  "step": 4008
         | 
| 166 | 
            +
                },
         | 
| 167 | 
            +
                {
         | 
| 168 | 
            +
                  "epoch": 13.0,
         | 
| 169 | 
            +
                  "eval_accuracy": 0.45766204571000374,
         | 
| 170 | 
            +
                  "eval_loss": 1.868658185005188,
         | 
| 171 | 
            +
                  "eval_runtime": 52.1907,
         | 
| 172 | 
            +
                  "eval_samples_per_second": 102.279,
         | 
| 173 | 
            +
                  "eval_steps_per_second": 3.2,
         | 
| 174 | 
            +
                  "step": 4342
         | 
| 175 | 
            +
                },
         | 
| 176 | 
            +
                {
         | 
| 177 | 
            +
                  "epoch": 13.47,
         | 
| 178 | 
            +
                  "learning_rate": 1.6609829488465398e-06,
         | 
| 179 | 
            +
                  "loss": 1.7952,
         | 
| 180 | 
            +
                  "step": 4500
         | 
| 181 | 
            +
                },
         | 
| 182 | 
            +
                {
         | 
| 183 | 
            +
                  "epoch": 14.0,
         | 
| 184 | 
            +
                  "eval_accuracy": 0.4644061446234545,
         | 
| 185 | 
            +
                  "eval_loss": 1.8404171466827393,
         | 
| 186 | 
            +
                  "eval_runtime": 52.0362,
         | 
| 187 | 
            +
                  "eval_samples_per_second": 102.582,
         | 
| 188 | 
            +
                  "eval_steps_per_second": 3.209,
         | 
| 189 | 
            +
                  "step": 4676
         | 
| 190 | 
            +
                },
         | 
| 191 | 
            +
                {
         | 
| 192 | 
            +
                  "epoch": 14.97,
         | 
| 193 | 
            +
                  "learning_rate": 1.510531594784353e-06,
         | 
| 194 | 
            +
                  "loss": 1.7469,
         | 
| 195 | 
            +
                  "step": 5000
         | 
| 196 | 
            +
                },
         | 
| 197 | 
            +
                {
         | 
| 198 | 
            +
                  "epoch": 15.0,
         | 
| 199 | 
            +
                  "eval_accuracy": 0.4668415136755339,
         | 
| 200 | 
            +
                  "eval_loss": 1.814427137374878,
         | 
| 201 | 
            +
                  "eval_runtime": 52.0939,
         | 
| 202 | 
            +
                  "eval_samples_per_second": 102.469,
         | 
| 203 | 
            +
                  "eval_steps_per_second": 3.206,
         | 
| 204 | 
            +
                  "step": 5010
         | 
| 205 | 
            +
                },
         | 
| 206 | 
            +
                {
         | 
| 207 | 
            +
                  "epoch": 16.0,
         | 
| 208 | 
            +
                  "eval_accuracy": 0.46796553016110903,
         | 
| 209 | 
            +
                  "eval_loss": 1.7911080121994019,
         | 
| 210 | 
            +
                  "eval_runtime": 53.1692,
         | 
| 211 | 
            +
                  "eval_samples_per_second": 100.396,
         | 
| 212 | 
            +
                  "eval_steps_per_second": 3.141,
         | 
| 213 | 
            +
                  "step": 5344
         | 
| 214 | 
            +
                },
         | 
| 215 | 
            +
                {
         | 
| 216 | 
            +
                  "epoch": 16.47,
         | 
| 217 | 
            +
                  "learning_rate": 1.3600802407221665e-06,
         | 
| 218 | 
            +
                  "loss": 1.7033,
         | 
| 219 | 
            +
                  "step": 5500
         | 
| 220 | 
            +
                },
         | 
| 221 | 
            +
                {
         | 
| 222 | 
            +
                  "epoch": 17.0,
         | 
| 223 | 
            +
                  "eval_accuracy": 0.4795803671787186,
         | 
| 224 | 
            +
                  "eval_loss": 1.7677799463272095,
         | 
| 225 | 
            +
                  "eval_runtime": 51.8901,
         | 
| 226 | 
            +
                  "eval_samples_per_second": 102.871,
         | 
| 227 | 
            +
                  "eval_steps_per_second": 3.218,
         | 
| 228 | 
            +
                  "step": 5678
         | 
| 229 | 
            +
                },
         | 
| 230 | 
            +
                {
         | 
| 231 | 
            +
                  "epoch": 17.96,
         | 
| 232 | 
            +
                  "learning_rate": 1.20962888665998e-06,
         | 
| 233 | 
            +
                  "loss": 1.6621,
         | 
| 234 | 
            +
                  "step": 6000
         | 
| 235 | 
            +
                },
         | 
| 236 | 
            +
                {
         | 
| 237 | 
            +
                  "epoch": 18.0,
         | 
| 238 | 
            +
                  "eval_accuracy": 0.4855751217684526,
         | 
| 239 | 
            +
                  "eval_loss": 1.748055338859558,
         | 
| 240 | 
            +
                  "eval_runtime": 52.1275,
         | 
| 241 | 
            +
                  "eval_samples_per_second": 102.403,
         | 
| 242 | 
            +
                  "eval_steps_per_second": 3.204,
         | 
| 243 | 
            +
                  "step": 6012
         | 
| 244 | 
            +
                },
         | 
| 245 | 
            +
                {
         | 
| 246 | 
            +
                  "epoch": 19.0,
         | 
| 247 | 
            +
                  "eval_accuracy": 0.48651180217309853,
         | 
| 248 | 
            +
                  "eval_loss": 1.7302188873291016,
         | 
| 249 | 
            +
                  "eval_runtime": 52.0882,
         | 
| 250 | 
            +
                  "eval_samples_per_second": 102.48,
         | 
| 251 | 
            +
                  "eval_steps_per_second": 3.206,
         | 
| 252 | 
            +
                  "step": 6346
         | 
| 253 | 
            +
                },
         | 
| 254 | 
            +
                {
         | 
| 255 | 
            +
                  "epoch": 19.46,
         | 
| 256 | 
            +
                  "learning_rate": 1.0591775325977935e-06,
         | 
| 257 | 
            +
                  "loss": 1.6249,
         | 
| 258 | 
            +
                  "step": 6500
         | 
| 259 | 
            +
                },
         | 
| 260 | 
            +
                {
         | 
| 261 | 
            +
                  "epoch": 20.0,
         | 
| 262 | 
            +
                  "eval_accuracy": 0.4866991382540277,
         | 
| 263 | 
            +
                  "eval_loss": 1.7110319137573242,
         | 
| 264 | 
            +
                  "eval_runtime": 52.1234,
         | 
| 265 | 
            +
                  "eval_samples_per_second": 102.411,
         | 
| 266 | 
            +
                  "eval_steps_per_second": 3.204,
         | 
| 267 | 
            +
                  "step": 6680
         | 
| 268 | 
            +
                },
         | 
| 269 | 
            +
                {
         | 
| 270 | 
            +
                  "epoch": 20.96,
         | 
| 271 | 
            +
                  "learning_rate": 9.087261785356068e-07,
         | 
| 272 | 
            +
                  "loss": 1.6,
         | 
| 273 | 
            +
                  "step": 7000
         | 
| 274 | 
            +
                },
         | 
| 275 | 
            +
                {
         | 
| 276 | 
            +
                  "epoch": 21.0,
         | 
| 277 | 
            +
                  "eval_accuracy": 0.49587860621955787,
         | 
| 278 | 
            +
                  "eval_loss": 1.6950350999832153,
         | 
| 279 | 
            +
                  "eval_runtime": 52.517,
         | 
| 280 | 
            +
                  "eval_samples_per_second": 101.643,
         | 
| 281 | 
            +
                  "eval_steps_per_second": 3.18,
         | 
| 282 | 
            +
                  "step": 7014
         | 
| 283 | 
            +
                },
         | 
| 284 | 
            +
                {
         | 
| 285 | 
            +
                  "epoch": 22.0,
         | 
| 286 | 
            +
                  "eval_accuracy": 0.4971899587860622,
         | 
| 287 | 
            +
                  "eval_loss": 1.683102011680603,
         | 
| 288 | 
            +
                  "eval_runtime": 52.8184,
         | 
| 289 | 
            +
                  "eval_samples_per_second": 101.063,
         | 
| 290 | 
            +
                  "eval_steps_per_second": 3.162,
         | 
| 291 | 
            +
                  "step": 7348
         | 
| 292 | 
            +
                },
         | 
| 293 | 
            +
                {
         | 
| 294 | 
            +
                  "epoch": 22.46,
         | 
| 295 | 
            +
                  "learning_rate": 7.582748244734203e-07,
         | 
| 296 | 
            +
                  "loss": 1.5698,
         | 
| 297 | 
            +
                  "step": 7500
         | 
| 298 | 
            +
                },
         | 
| 299 | 
            +
                {
         | 
| 300 | 
            +
                  "epoch": 23.0,
         | 
| 301 | 
            +
                  "eval_accuracy": 0.5018733608092919,
         | 
| 302 | 
            +
                  "eval_loss": 1.6692556142807007,
         | 
| 303 | 
            +
                  "eval_runtime": 52.387,
         | 
| 304 | 
            +
                  "eval_samples_per_second": 101.895,
         | 
| 305 | 
            +
                  "eval_steps_per_second": 3.188,
         | 
| 306 | 
            +
                  "step": 7682
         | 
| 307 | 
            +
                },
         | 
| 308 | 
            +
                {
         | 
| 309 | 
            +
                  "epoch": 23.95,
         | 
| 310 | 
            +
                  "learning_rate": 6.078234704112337e-07,
         | 
| 311 | 
            +
                  "loss": 1.5493,
         | 
| 312 | 
            +
                  "step": 8000
         | 
| 313 | 
            +
                },
         | 
| 314 | 
            +
                {
         | 
| 315 | 
            +
                  "epoch": 24.0,
         | 
| 316 | 
            +
                  "eval_accuracy": 0.49625327838141625,
         | 
| 317 | 
            +
                  "eval_loss": 1.659037709236145,
         | 
| 318 | 
            +
                  "eval_runtime": 52.3852,
         | 
| 319 | 
            +
                  "eval_samples_per_second": 101.899,
         | 
| 320 | 
            +
                  "eval_steps_per_second": 3.188,
         | 
| 321 | 
            +
                  "step": 8016
         | 
| 322 | 
            +
                },
         | 
| 323 | 
            +
                {
         | 
| 324 | 
            +
                  "epoch": 25.0,
         | 
| 325 | 
            +
                  "eval_accuracy": 0.5084301236418134,
         | 
| 326 | 
            +
                  "eval_loss": 1.650451421737671,
         | 
| 327 | 
            +
                  "eval_runtime": 51.9831,
         | 
| 328 | 
            +
                  "eval_samples_per_second": 102.687,
         | 
| 329 | 
            +
                  "eval_steps_per_second": 3.213,
         | 
| 330 | 
            +
                  "step": 8350
         | 
| 331 | 
            +
                },
         | 
| 332 | 
            +
                {
         | 
| 333 | 
            +
                  "epoch": 25.45,
         | 
| 334 | 
            +
                  "learning_rate": 4.5737211634904716e-07,
         | 
| 335 | 
            +
                  "loss": 1.5313,
         | 
| 336 | 
            +
                  "step": 8500
         | 
| 337 | 
            +
                },
         | 
| 338 | 
            +
                {
         | 
| 339 | 
            +
                  "epoch": 26.0,
         | 
| 340 | 
            +
                  "eval_accuracy": 0.5050580741850881,
         | 
| 341 | 
            +
                  "eval_loss": 1.6430058479309082,
         | 
| 342 | 
            +
                  "eval_runtime": 52.0136,
         | 
| 343 | 
            +
                  "eval_samples_per_second": 102.627,
         | 
| 344 | 
            +
                  "eval_steps_per_second": 3.211,
         | 
| 345 | 
            +
                  "step": 8684
         | 
| 346 | 
            +
                },
         | 
| 347 | 
            +
                {
         | 
| 348 | 
            +
                  "epoch": 26.95,
         | 
| 349 | 
            +
                  "learning_rate": 3.069207622868606e-07,
         | 
| 350 | 
            +
                  "loss": 1.5177,
         | 
| 351 | 
            +
                  "step": 9000
         | 
| 352 | 
            +
                },
         | 
| 353 | 
            +
                {
         | 
| 354 | 
            +
                  "epoch": 27.0,
         | 
| 355 | 
            +
                  "eval_accuracy": 0.5063694267515924,
         | 
| 356 | 
            +
                  "eval_loss": 1.6367906332015991,
         | 
| 357 | 
            +
                  "eval_runtime": 52.2435,
         | 
| 358 | 
            +
                  "eval_samples_per_second": 102.175,
         | 
| 359 | 
            +
                  "eval_steps_per_second": 3.197,
         | 
| 360 | 
            +
                  "step": 9018
         | 
| 361 | 
            +
                },
         | 
| 362 | 
            +
                {
         | 
| 363 | 
            +
                  "epoch": 28.0,
         | 
| 364 | 
            +
                  "eval_accuracy": 0.5076807793180966,
         | 
| 365 | 
            +
                  "eval_loss": 1.633717656135559,
         | 
| 366 | 
            +
                  "eval_runtime": 52.2304,
         | 
| 367 | 
            +
                  "eval_samples_per_second": 102.201,
         | 
| 368 | 
            +
                  "eval_steps_per_second": 3.197,
         | 
| 369 | 
            +
                  "step": 9352
         | 
| 370 | 
            +
                },
         | 
| 371 | 
            +
                {
         | 
| 372 | 
            +
                  "epoch": 28.44,
         | 
| 373 | 
            +
                  "learning_rate": 1.5646940822467403e-07,
         | 
| 374 | 
            +
                  "loss": 1.5101,
         | 
| 375 | 
            +
                  "step": 9500
         | 
| 376 | 
            +
                },
         | 
| 377 | 
            +
                {
         | 
| 378 | 
            +
                  "epoch": 29.0,
         | 
| 379 | 
            +
                  "eval_accuracy": 0.5069314349943799,
         | 
| 380 | 
            +
                  "eval_loss": 1.6314198970794678,
         | 
| 381 | 
            +
                  "eval_runtime": 52.5904,
         | 
| 382 | 
            +
                  "eval_samples_per_second": 101.501,
         | 
| 383 | 
            +
                  "eval_steps_per_second": 3.175,
         | 
| 384 | 
            +
                  "step": 9686
         | 
| 385 | 
            +
                },
         | 
| 386 | 
            +
                {
         | 
| 387 | 
            +
                  "epoch": 29.94,
         | 
| 388 | 
            +
                  "learning_rate": 6.018054162487462e-09,
         | 
| 389 | 
            +
                  "loss": 1.5,
         | 
| 390 | 
            +
                  "step": 10000
         | 
| 391 | 
            +
                },
         | 
| 392 | 
            +
                {
         | 
| 393 | 
            +
                  "epoch": 30.0,
         | 
| 394 | 
            +
                  "eval_accuracy": 0.5050580741850881,
         | 
| 395 | 
            +
                  "eval_loss": 1.6296087503433228,
         | 
| 396 | 
            +
                  "eval_runtime": 52.2229,
         | 
| 397 | 
            +
                  "eval_samples_per_second": 102.216,
         | 
| 398 | 
            +
                  "eval_steps_per_second": 3.198,
         | 
| 399 | 
            +
                  "step": 10020
         | 
| 400 | 
            +
                }
         | 
| 401 | 
            +
              ],
         | 
| 402 | 
            +
              "logging_steps": 500,
         | 
| 403 | 
            +
              "max_steps": 10020,
         | 
| 404 | 
            +
              "num_train_epochs": 30,
         | 
| 405 | 
            +
              "save_steps": 500,
         | 
| 406 | 
            +
              "total_flos": 4.964340605762765e+19,
         | 
| 407 | 
            +
              "trial_name": null,
         | 
| 408 | 
            +
              "trial_params": null
         | 
| 409 | 
            +
            }
         | 
    	
        checkpoint-10020/training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:b7c9a1b990012db059eeb2765cb4f742d0ae6ffaa2dbd995adacf469ba98c917
         | 
| 3 | 
            +
            size 4091
         | 
    	
        config.json
    ADDED
    
    | @@ -0,0 +1,76 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "_name_or_path": "google/vit-base-patch16-224-in21k",
         | 
| 3 | 
            +
              "architectures": [
         | 
| 4 | 
            +
                "ViTForImageClassification"
         | 
| 5 | 
            +
              ],
         | 
| 6 | 
            +
              "attention_probs_dropout_prob": 0.0,
         | 
| 7 | 
            +
              "encoder_stride": 16,
         | 
| 8 | 
            +
              "hidden_act": "gelu",
         | 
| 9 | 
            +
              "hidden_dropout_prob": 0.0,
         | 
| 10 | 
            +
              "hidden_size": 768,
         | 
| 11 | 
            +
              "id2label": {
         | 
| 12 | 
            +
                "0": "01",
         | 
| 13 | 
            +
                "1": "02",
         | 
| 14 | 
            +
                "2": "03",
         | 
| 15 | 
            +
                "3": "04",
         | 
| 16 | 
            +
                "4": "05",
         | 
| 17 | 
            +
                "5": "06-07",
         | 
| 18 | 
            +
                "6": "08-09",
         | 
| 19 | 
            +
                "7": "08-9",
         | 
| 20 | 
            +
                "8": "10-12",
         | 
| 21 | 
            +
                "9": "13-15",
         | 
| 22 | 
            +
                "10": "16-20",
         | 
| 23 | 
            +
                "11": "21-25",
         | 
| 24 | 
            +
                "12": "26-30",
         | 
| 25 | 
            +
                "13": "31-35",
         | 
| 26 | 
            +
                "14": "36-40",
         | 
| 27 | 
            +
                "15": "41-45",
         | 
| 28 | 
            +
                "16": "46-50",
         | 
| 29 | 
            +
                "17": "51-55",
         | 
| 30 | 
            +
                "18": "56-60",
         | 
| 31 | 
            +
                "19": "61-65",
         | 
| 32 | 
            +
                "20": "66-70",
         | 
| 33 | 
            +
                "21": "71-80",
         | 
| 34 | 
            +
                "22": "81-90",
         | 
| 35 | 
            +
                "23": "90+"
         | 
| 36 | 
            +
              },
         | 
| 37 | 
            +
              "image_size": 224,
         | 
| 38 | 
            +
              "initializer_range": 0.02,
         | 
| 39 | 
            +
              "intermediate_size": 3072,
         | 
| 40 | 
            +
              "label2id": {
         | 
| 41 | 
            +
                "01": 0,
         | 
| 42 | 
            +
                "02": 1,
         | 
| 43 | 
            +
                "03": 2,
         | 
| 44 | 
            +
                "04": 3,
         | 
| 45 | 
            +
                "05": 4,
         | 
| 46 | 
            +
                "06-07": 5,
         | 
| 47 | 
            +
                "08-09": 6,
         | 
| 48 | 
            +
                "08-9": 7,
         | 
| 49 | 
            +
                "10-12": 8,
         | 
| 50 | 
            +
                "13-15": 9,
         | 
| 51 | 
            +
                "16-20": 10,
         | 
| 52 | 
            +
                "21-25": 11,
         | 
| 53 | 
            +
                "26-30": 12,
         | 
| 54 | 
            +
                "31-35": 13,
         | 
| 55 | 
            +
                "36-40": 14,
         | 
| 56 | 
            +
                "41-45": 15,
         | 
| 57 | 
            +
                "46-50": 16,
         | 
| 58 | 
            +
                "51-55": 17,
         | 
| 59 | 
            +
                "56-60": 18,
         | 
| 60 | 
            +
                "61-65": 19,
         | 
| 61 | 
            +
                "66-70": 20,
         | 
| 62 | 
            +
                "71-80": 21,
         | 
| 63 | 
            +
                "81-90": 22,
         | 
| 64 | 
            +
                "90+": 23
         | 
| 65 | 
            +
              },
         | 
| 66 | 
            +
              "layer_norm_eps": 1e-12,
         | 
| 67 | 
            +
              "model_type": "vit",
         | 
| 68 | 
            +
              "num_attention_heads": 12,
         | 
| 69 | 
            +
              "num_channels": 3,
         | 
| 70 | 
            +
              "num_hidden_layers": 12,
         | 
| 71 | 
            +
              "patch_size": 16,
         | 
| 72 | 
            +
              "problem_type": "single_label_classification",
         | 
| 73 | 
            +
              "qkv_bias": true,
         | 
| 74 | 
            +
              "torch_dtype": "float32",
         | 
| 75 | 
            +
              "transformers_version": "4.35.0"
         | 
| 76 | 
            +
            }
         | 
    	
        model.safetensors
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:a22def0831c81660cca9db86c3bae57d49fe05506dfb7beb2270c5fa8af17134
         | 
| 3 | 
            +
            size 343291648
         | 
    	
        preprocessor_config.json
    ADDED
    
    | @@ -0,0 +1,22 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "do_normalize": true,
         | 
| 3 | 
            +
              "do_rescale": true,
         | 
| 4 | 
            +
              "do_resize": true,
         | 
| 5 | 
            +
              "image_mean": [
         | 
| 6 | 
            +
                0.5,
         | 
| 7 | 
            +
                0.5,
         | 
| 8 | 
            +
                0.5
         | 
| 9 | 
            +
              ],
         | 
| 10 | 
            +
              "image_processor_type": "ViTImageProcessor",
         | 
| 11 | 
            +
              "image_std": [
         | 
| 12 | 
            +
                0.5,
         | 
| 13 | 
            +
                0.5,
         | 
| 14 | 
            +
                0.5
         | 
| 15 | 
            +
              ],
         | 
| 16 | 
            +
              "resample": 2,
         | 
| 17 | 
            +
              "rescale_factor": 0.00392156862745098,
         | 
| 18 | 
            +
              "size": {
         | 
| 19 | 
            +
                "height": 224,
         | 
| 20 | 
            +
                "width": 224
         | 
| 21 | 
            +
              }
         | 
| 22 | 
            +
            }
         | 
    	
        training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:b7c9a1b990012db059eeb2765cb4f742d0ae6ffaa2dbd995adacf469ba98c917
         | 
| 3 | 
            +
            size 4091
         | 
