End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- preprocessor_config.json +28 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- train_results.json +8 -0
- trainer_state.json +202 -0
- vocab.txt +0 -0
README.md
CHANGED
|
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss: 2.
|
| 21 |
-
- Accuracy: 0.
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 2.9110
|
| 21 |
+
- Accuracy: 0.1265
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.96506051609957,
|
| 3 |
+
"eval_accuracy": 0.1265224358974359,
|
| 4 |
+
"eval_loss": 2.910996913909912,
|
| 5 |
+
"eval_runtime": 86.7378,
|
| 6 |
+
"eval_samples_per_second": 479.606,
|
| 7 |
+
"eval_steps_per_second": 23.98,
|
| 8 |
+
"total_flos": 1.1488768422484287e+19,
|
| 9 |
+
"train_loss": 1.4928506880995889,
|
| 10 |
+
"train_runtime": 186579.6133,
|
| 11 |
+
"train_samples_per_second": 234.678,
|
| 12 |
+
"train_steps_per_second": 1.173
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.96506051609957,
|
| 3 |
+
"eval_accuracy": 0.1265224358974359,
|
| 4 |
+
"eval_loss": 2.910996913909912,
|
| 5 |
+
"eval_runtime": 86.7378,
|
| 6 |
+
"eval_samples_per_second": 479.606,
|
| 7 |
+
"eval_steps_per_second": 23.98
|
| 8 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": {
|
| 3 |
+
"height": 224,
|
| 4 |
+
"width": 224
|
| 5 |
+
},
|
| 6 |
+
"do_center_crop": false,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
+
"image_mean": [
|
| 12 |
+
0.48145466,
|
| 13 |
+
0.4578275,
|
| 14 |
+
0.40821073
|
| 15 |
+
],
|
| 16 |
+
"image_processor_type": "ChineseCLIPImageProcessor",
|
| 17 |
+
"image_std": [
|
| 18 |
+
0.26862954,
|
| 19 |
+
0.26130258,
|
| 20 |
+
0.27577711
|
| 21 |
+
],
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"height": 224,
|
| 26 |
+
"width": 224
|
| 27 |
+
}
|
| 28 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"strip_accents": null,
|
| 55 |
+
"tokenize_chinese_chars": true,
|
| 56 |
+
"tokenizer_class": "BertTokenizer",
|
| 57 |
+
"unk_token": "[UNK]"
|
| 58 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 99.96506051609957,
|
| 3 |
+
"total_flos": 1.1488768422484287e+19,
|
| 4 |
+
"train_loss": 1.4928506880995889,
|
| 5 |
+
"train_runtime": 186579.6133,
|
| 6 |
+
"train_samples_per_second": 234.678,
|
| 7 |
+
"train_steps_per_second": 1.173
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 99.96506051609957,
|
| 5 |
+
"eval_steps": 21890,
|
| 6 |
+
"global_step": 218900,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 9.999771637360128,
|
| 13 |
+
"grad_norm": 2.7868080139160156,
|
| 14 |
+
"learning_rate": 9.000593878483327e-06,
|
| 15 |
+
"loss": 2.1154,
|
| 16 |
+
"step": 21890
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 9.999771637360128,
|
| 20 |
+
"eval_accuracy": 0.12790865384615385,
|
| 21 |
+
"eval_loss": 2.7239530086517334,
|
| 22 |
+
"eval_runtime": 86.8701,
|
| 23 |
+
"eval_samples_per_second": 478.876,
|
| 24 |
+
"eval_steps_per_second": 23.944,
|
| 25 |
+
"step": 21890
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 19.99566110984243,
|
| 29 |
+
"grad_norm": 3.3717546463012695,
|
| 30 |
+
"learning_rate": 8.000959342165372e-06,
|
| 31 |
+
"loss": 2.0659,
|
| 32 |
+
"step": 43780
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 19.99566110984243,
|
| 36 |
+
"eval_accuracy": 0.1278125,
|
| 37 |
+
"eval_loss": 2.7772293090820312,
|
| 38 |
+
"eval_runtime": 86.8569,
|
| 39 |
+
"eval_samples_per_second": 478.948,
|
| 40 |
+
"eval_steps_per_second": 23.947,
|
| 41 |
+
"step": 43780
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 29.99703128568166,
|
| 45 |
+
"grad_norm": 3.0808234214782715,
|
| 46 |
+
"learning_rate": 7.0015532206486995e-06,
|
| 47 |
+
"loss": 1.9905,
|
| 48 |
+
"step": 65670
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 29.99703128568166,
|
| 52 |
+
"eval_accuracy": 0.13122596153846153,
|
| 53 |
+
"eval_loss": 2.780440092086792,
|
| 54 |
+
"eval_runtime": 86.9347,
|
| 55 |
+
"eval_samples_per_second": 478.52,
|
| 56 |
+
"eval_steps_per_second": 23.926,
|
| 57 |
+
"step": 65670
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 39.99246403288422,
|
| 61 |
+
"grad_norm": 2.7015247344970703,
|
| 62 |
+
"learning_rate": 6.002010050251257e-06,
|
| 63 |
+
"loss": 1.9583,
|
| 64 |
+
"step": 87560
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 39.99246403288422,
|
| 68 |
+
"eval_accuracy": 0.13014423076923076,
|
| 69 |
+
"eval_loss": 2.829221487045288,
|
| 70 |
+
"eval_runtime": 86.9347,
|
| 71 |
+
"eval_samples_per_second": 478.52,
|
| 72 |
+
"eval_steps_per_second": 23.926,
|
| 73 |
+
"step": 87560
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 49.98789678008678,
|
| 77 |
+
"grad_norm": 3.6309220790863037,
|
| 78 |
+
"learning_rate": 5.00251256281407e-06,
|
| 79 |
+
"loss": 1.9332,
|
| 80 |
+
"step": 109450
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 49.98789678008678,
|
| 84 |
+
"eval_accuracy": 0.12955929487179488,
|
| 85 |
+
"eval_loss": 2.8339743614196777,
|
| 86 |
+
"eval_runtime": 86.9494,
|
| 87 |
+
"eval_samples_per_second": 478.439,
|
| 88 |
+
"eval_steps_per_second": 23.922,
|
| 89 |
+
"step": 109450
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 59.983329527289335,
|
| 93 |
+
"grad_norm": 1.8577121496200562,
|
| 94 |
+
"learning_rate": 4.003015075376885e-06,
|
| 95 |
+
"loss": 1.9132,
|
| 96 |
+
"step": 131340
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 59.983329527289335,
|
| 100 |
+
"eval_accuracy": 0.12921875,
|
| 101 |
+
"eval_loss": 2.8476154804229736,
|
| 102 |
+
"eval_runtime": 86.9388,
|
| 103 |
+
"eval_samples_per_second": 478.497,
|
| 104 |
+
"eval_steps_per_second": 23.925,
|
| 105 |
+
"step": 131340
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 69.9787622744919,
|
| 109 |
+
"grad_norm": 2.821331262588501,
|
| 110 |
+
"learning_rate": 3.003517587939699e-06,
|
| 111 |
+
"loss": 1.8997,
|
| 112 |
+
"step": 153230
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 69.9787622744919,
|
| 116 |
+
"eval_accuracy": 0.1286826923076923,
|
| 117 |
+
"eval_loss": 2.8616456985473633,
|
| 118 |
+
"eval_runtime": 86.8596,
|
| 119 |
+
"eval_samples_per_second": 478.934,
|
| 120 |
+
"eval_steps_per_second": 23.947,
|
| 121 |
+
"step": 153230
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 79.97419502169446,
|
| 125 |
+
"grad_norm": 3.619612216949463,
|
| 126 |
+
"learning_rate": 2.0040201005025127e-06,
|
| 127 |
+
"loss": 1.8921,
|
| 128 |
+
"step": 175120
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 79.97419502169446,
|
| 132 |
+
"eval_accuracy": 0.12806089743589744,
|
| 133 |
+
"eval_loss": 2.888369083404541,
|
| 134 |
+
"eval_runtime": 86.948,
|
| 135 |
+
"eval_samples_per_second": 478.447,
|
| 136 |
+
"eval_steps_per_second": 23.922,
|
| 137 |
+
"step": 175120
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 89.96962776889701,
|
| 141 |
+
"grad_norm": 2.831256866455078,
|
| 142 |
+
"learning_rate": 1.0044769301050709e-06,
|
| 143 |
+
"loss": 1.8875,
|
| 144 |
+
"step": 197010
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 89.96962776889701,
|
| 148 |
+
"eval_accuracy": 0.12728365384615384,
|
| 149 |
+
"eval_loss": 2.9168872833251953,
|
| 150 |
+
"eval_runtime": 87.0546,
|
| 151 |
+
"eval_samples_per_second": 477.861,
|
| 152 |
+
"eval_steps_per_second": 23.893,
|
| 153 |
+
"step": 197010
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 99.96506051609957,
|
| 157 |
+
"grad_norm": 2.589529514312744,
|
| 158 |
+
"learning_rate": 4.979442667884879e-09,
|
| 159 |
+
"loss": 1.8833,
|
| 160 |
+
"step": 218900
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 99.96506051609957,
|
| 164 |
+
"eval_accuracy": 0.1268359375,
|
| 165 |
+
"eval_loss": 2.9121108055114746,
|
| 166 |
+
"eval_runtime": 86.8592,
|
| 167 |
+
"eval_samples_per_second": 478.936,
|
| 168 |
+
"eval_steps_per_second": 23.947,
|
| 169 |
+
"step": 218900
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 99.96506051609957,
|
| 173 |
+
"step": 218900,
|
| 174 |
+
"total_flos": 1.1488768422484287e+19,
|
| 175 |
+
"train_loss": 1.4928506880995889,
|
| 176 |
+
"train_runtime": 186579.6133,
|
| 177 |
+
"train_samples_per_second": 234.678,
|
| 178 |
+
"train_steps_per_second": 1.173
|
| 179 |
+
}
|
| 180 |
+
],
|
| 181 |
+
"logging_steps": 21890,
|
| 182 |
+
"max_steps": 218900,
|
| 183 |
+
"num_input_tokens_seen": 0,
|
| 184 |
+
"num_train_epochs": 100,
|
| 185 |
+
"save_steps": 500,
|
| 186 |
+
"stateful_callbacks": {
|
| 187 |
+
"TrainerControl": {
|
| 188 |
+
"args": {
|
| 189 |
+
"should_epoch_stop": false,
|
| 190 |
+
"should_evaluate": false,
|
| 191 |
+
"should_log": false,
|
| 192 |
+
"should_save": true,
|
| 193 |
+
"should_training_stop": true
|
| 194 |
+
},
|
| 195 |
+
"attributes": {}
|
| 196 |
+
}
|
| 197 |
+
},
|
| 198 |
+
"total_flos": 1.1488768422484287e+19,
|
| 199 |
+
"train_batch_size": 50,
|
| 200 |
+
"trial_name": null,
|
| 201 |
+
"trial_params": null
|
| 202 |
+
}
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|