End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
 - Loss: 3.7759
-- Accuracy: 0.0765
+- Accuracy: 0.0760
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 59.927739863508634,
+    "eval_accuracy": 0.07597694919753564,
+    "eval_loss": 3.775934934616089,
+    "eval_runtime": 32.5693,
+    "eval_samples_per_second": 252.354,
+    "eval_steps_per_second": 12.619,
+    "total_flos": 1.4754079994623488e+18,
+    "train_loss": 1.726910066757938,
+    "train_runtime": 33547.8653,
+    "train_samples_per_second": 111.342,
+    "train_steps_per_second": 0.556
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 59.927739863508634,
+    "eval_accuracy": 0.07597694919753564,
+    "eval_loss": 3.775934934616089,
+    "eval_runtime": 32.5693,
+    "eval_samples_per_second": 252.354,
+    "eval_steps_per_second": 12.619
+}

preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "ChineseCLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 59.927739863508634,
+    "total_flos": 1.4754079994623488e+18,
+    "train_loss": 1.726910066757938,
+    "train_runtime": 33547.8653,
+    "train_samples_per_second": 111.342,
+    "train_steps_per_second": 0.556
+}

trainer_state.json

@@ -0,0 +1,202 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 59.927739863508634,
+  "eval_steps": 1866,
+  "global_step": 18660,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 5.992773986350863,
+      "grad_norm": 7.660736560821533,
+      "learning_rate": 9.001071811361202e-06,
+      "loss": 2.077,
+      "step": 1866
+    },
+    {
+      "epoch": 5.992773986350863,
+      "eval_accuracy": 0.07665166078598369,
+      "eval_loss": 3.0592968463897705,
+      "eval_runtime": 32.9334,
+      "eval_samples_per_second": 249.564,
+      "eval_steps_per_second": 12.48,
+      "step": 1866
+    },
+    {
+      "epoch": 11.985547972701726,
+      "grad_norm": 8.02175521850586,
+      "learning_rate": 8.0021436227224e-06,
+      "loss": 1.8747,
+      "step": 3732
+    },
+    {
+      "epoch": 11.985547972701726,
+      "eval_accuracy": 0.07878087358559435,
+      "eval_loss": 3.1968600749969482,
+      "eval_runtime": 33.6195,
+      "eval_samples_per_second": 244.471,
+      "eval_steps_per_second": 12.225,
+      "step": 3732
+    },
+    {
+      "epoch": 17.97832195905259,
+      "grad_norm": 7.991235733032227,
+      "learning_rate": 7.002143622722402e-06,
+      "loss": 1.7613,
+      "step": 5598
+    },
+    {
+      "epoch": 17.97832195905259,
+      "eval_accuracy": 0.07819280528855903,
+      "eval_loss": 3.2275424003601074,
+      "eval_runtime": 33.0021,
+      "eval_samples_per_second": 249.045,
+      "eval_steps_per_second": 12.454,
+      "step": 5598
+    },
+    {
+      "epoch": 23.97109594540345,
+      "grad_norm": 4.696638584136963,
+      "learning_rate": 6.002679528403002e-06,
+      "loss": 1.703,
+      "step": 7464
+    },
+    {
+      "epoch": 23.97109594540345,
+      "eval_accuracy": 0.07881129091130308,
+      "eval_loss": 3.367746114730835,
+      "eval_runtime": 33.0083,
+      "eval_samples_per_second": 248.998,
+      "eval_steps_per_second": 12.451,
+      "step": 7464
+    },
+    {
+      "epoch": 29.963869931754317,
+      "grad_norm": 2.74943208694458,
+      "learning_rate": 5.0037513397642025e-06,
+      "loss": 1.676,
+      "step": 9330
+    },
+    {
+      "epoch": 29.963869931754317,
+      "eval_accuracy": 0.07835503102567222,
+      "eval_loss": 3.4368343353271484,
+      "eval_runtime": 32.8486,
+      "eval_samples_per_second": 250.208,
+      "eval_steps_per_second": 12.512,
+      "step": 9330
+    },
+    {
+      "epoch": 35.95664391810518,
+      "grad_norm": 4.24375057220459,
+      "learning_rate": 4.003751339764202e-06,
+      "loss": 1.6495,
+      "step": 11196
+    },
+    {
+      "epoch": 35.95664391810518,
+      "eval_accuracy": 0.07829419637425478,
+      "eval_loss": 3.5519556999206543,
+      "eval_runtime": 32.9918,
+      "eval_samples_per_second": 249.123,
+      "eval_steps_per_second": 12.458,
+      "step": 11196
+    },
+    {
+      "epoch": 41.94941790445604,
+      "grad_norm": 3.4726574420928955,
+      "learning_rate": 3.004287245444802e-06,
+      "loss": 1.6449,
+      "step": 13062
+    },
+    {
+      "epoch": 41.94941790445604,
+      "eval_accuracy": 0.07814645507795526,
+      "eval_loss": 3.556215763092041,
+      "eval_runtime": 32.6442,
+      "eval_samples_per_second": 251.776,
+      "eval_steps_per_second": 12.59,
+      "step": 13062
+    },
+    {
+      "epoch": 47.9421918908069,
+      "grad_norm": 3.2187790870666504,
+      "learning_rate": 2.004287245444802e-06,
+      "loss": 1.6293,
+      "step": 14928
+    },
+    {
+      "epoch": 47.9421918908069,
+      "eval_accuracy": 0.07750334590582796,
+      "eval_loss": 3.621753215789795,
+      "eval_runtime": 32.8748,
+      "eval_samples_per_second": 250.009,
+      "eval_steps_per_second": 12.502,
+      "step": 14928
+    },
+    {
+      "epoch": 53.934965877157765,
+      "grad_norm": 1.5753388404846191,
+      "learning_rate": 1.0048231511254019e-06,
+      "loss": 1.6301,
+      "step": 16794
+    },
+    {
+      "epoch": 53.934965877157765,
+      "eval_accuracy": 0.07704370631734057,
+      "eval_loss": 3.7435097694396973,
+      "eval_runtime": 32.6254,
+      "eval_samples_per_second": 251.92,
+      "eval_steps_per_second": 12.598,
+      "step": 16794
+    },
+    {
+      "epoch": 59.927739863508634,
+      "grad_norm": 1.8606178760528564,
+      "learning_rate": 5.359056806002144e-09,
+      "loss": 1.6232,
+      "step": 18660
+    },
+    {
+      "epoch": 59.927739863508634,
+      "eval_accuracy": 0.07645698990144786,
+      "eval_loss": 3.775934934616089,
+      "eval_runtime": 32.9764,
+      "eval_samples_per_second": 249.239,
+      "eval_steps_per_second": 12.463,
+      "step": 18660
+    },
+    {
+      "epoch": 59.927739863508634,
+      "step": 18660,
+      "total_flos": 1.4754079994623488e+18,
+      "train_loss": 1.726910066757938,
+      "train_runtime": 33547.8653,
+      "train_samples_per_second": 111.342,
+      "train_steps_per_second": 0.556
+    }
+  ],
+  "logging_steps": 1866,
+  "max_steps": 18660,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 60,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.4754079994623488e+18,
+  "train_batch_size": 25,
+  "trial_name": null,
+  "trial_params": null
+}