Training in progress, epoch 1

logs/events.out.tfevents.1709738746.fcc57e6e3903.3035.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3b264f3ff29bc08479f86cee904af2cfde644ea59393644b34002bb7045c8bf
-size 6011
+oid sha256:80794c9e9bff8a4cbb96e16055042fb9dd61f1c7168832a8a83f42e13d3ae87e
+size 11829

logs/events.out.tfevents.1709742338.fcc57e6e3903.3035.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fc37f035c54ce47187cd97c64bdefab842600ca13b7b3b129c51201bf249d29
+size 5328

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9050e087a0d3c8f5b9228cf470492959b725dbf11c5c6d534c425890699c6fe3
+oid sha256:97780c69f05de76f9d89d5b245a3979297519b2bb08ee6e324817933a1e9732d
 size 17549312

run-2/checkpoint-5346/config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "label2id": {
+    "negative": "0",
+    "positive": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

run-2/checkpoint-5346/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e7990c4797e5be8a5caee3b7eba6df0ae295cfd601e661a8010a30d86c1e0c7
+size 17549312

run-2/checkpoint-5346/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05884feac653e9eb03a4ac1f1a80329852390e59eadfe0a6a902a2f90c69433a
+size 35122746

run-2/checkpoint-5346/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30de5755d634d0299acbbbf940ac0a9dd34f2bc3d15dfa518826258a5ff8390a
+size 14054

run-2/checkpoint-5346/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:049123f1f477381ec81c5a7149d7494f45f55e973e156896603f5806866cb3f3
+size 1064

run-2/checkpoint-5346/special_tokens_map.json

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

run-2/checkpoint-5346/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": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

run-2/checkpoint-5346/trainer_state.json

@@ -0,0 +1,198 @@
+{
+  "best_metric": 0.5742574257425742,
+  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-5346",
+  "epoch": 9.0,
+  "eval_steps": 500,
+  "global_step": 5346,
+  "is_hyper_param_search": true,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.7887440323829651,
+      "learning_rate": 0.00015586356006012654,
+      "loss": 0.3246,
+      "step": 594
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5148514851485149,
+      "eval_f1": 0.16382252559726962,
+      "eval_loss": 0.3221835792064667,
+      "eval_precision": 0.5853658536585366,
+      "eval_recall": 0.09523809523809523,
+      "eval_runtime": 15.4228,
+      "eval_samples_per_second": 32.744,
+      "eval_steps_per_second": 1.037,
+      "step": 594
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.6338050961494446,
+      "learning_rate": 0.00013854538672011249,
+      "loss": 0.3178,
+      "step": 1188
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.5168316831683168,
+      "eval_f1": 0.17006802721088435,
+      "eval_loss": 0.31132203340530396,
+      "eval_precision": 0.5952380952380952,
+      "eval_recall": 0.0992063492063492,
+      "eval_runtime": 15.3986,
+      "eval_samples_per_second": 32.795,
+      "eval_steps_per_second": 1.039,
+      "step": 1188
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 1.1013684272766113,
+      "learning_rate": 0.0001212272133800984,
+      "loss": 0.3119,
+      "step": 1782
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5207920792079208,
+      "eval_f1": 0.1986754966887417,
+      "eval_loss": 0.3059851825237274,
+      "eval_precision": 0.6,
+      "eval_recall": 0.11904761904761904,
+      "eval_runtime": 15.2233,
+      "eval_samples_per_second": 33.173,
+      "eval_steps_per_second": 1.051,
+      "step": 1782
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 1.1249533891677856,
+      "learning_rate": 0.00010390904004008435,
+      "loss": 0.3068,
+      "step": 2376
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.5287128712871287,
+      "eval_f1": 0.1793103448275862,
+      "eval_loss": 0.3041296601295471,
+      "eval_precision": 0.6842105263157895,
+      "eval_recall": 0.10317460317460317,
+      "eval_runtime": 15.2189,
+      "eval_samples_per_second": 33.183,
+      "eval_steps_per_second": 1.051,
+      "step": 2376
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 1.003902554512024,
+      "learning_rate": 8.65908667000703e-05,
+      "loss": 0.3031,
+      "step": 2970
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.5465346534653466,
+      "eval_f1": 0.23411371237458192,
+      "eval_loss": 0.3002361059188843,
+      "eval_precision": 0.7446808510638298,
+      "eval_recall": 0.1388888888888889,
+      "eval_runtime": 15.2406,
+      "eval_samples_per_second": 33.135,
+      "eval_steps_per_second": 1.05,
+      "step": 2970
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.5786848068237305,
+      "learning_rate": 6.927269336005624e-05,
+      "loss": 0.3004,
+      "step": 3564
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.5683168316831683,
+      "eval_f1": 0.30128205128205127,
+      "eval_loss": 0.2976093292236328,
+      "eval_precision": 0.7833333333333333,
+      "eval_recall": 0.1865079365079365,
+      "eval_runtime": 15.1978,
+      "eval_samples_per_second": 33.228,
+      "eval_steps_per_second": 1.053,
+      "step": 3564
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 0.880638599395752,
+      "learning_rate": 5.1954520020042175e-05,
+      "loss": 0.2983,
+      "step": 4158
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.5584158415841585,
+      "eval_f1": 0.29652996845425866,
+      "eval_loss": 0.29786166548728943,
+      "eval_precision": 0.7230769230769231,
+      "eval_recall": 0.1865079365079365,
+      "eval_runtime": 15.1508,
+      "eval_samples_per_second": 33.332,
+      "eval_steps_per_second": 1.056,
+      "step": 4158
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 0.8452739119529724,
+      "learning_rate": 3.463634668002812e-05,
+      "loss": 0.296,
+      "step": 4752
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.5722772277227722,
+      "eval_f1": 0.3076923076923077,
+      "eval_loss": 0.29773908853530884,
+      "eval_precision": 0.8,
+      "eval_recall": 0.19047619047619047,
+      "eval_runtime": 15.0116,
+      "eval_samples_per_second": 33.641,
+      "eval_steps_per_second": 1.066,
+      "step": 4752
+    },
+    {
+      "epoch": 9.0,
+      "grad_norm": 1.1398597955703735,
+      "learning_rate": 1.731817334001406e-05,
+      "loss": 0.2955,
+      "step": 5346
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 0.5742574257425742,
+      "eval_f1": 0.3260188087774295,
+      "eval_loss": 0.2973213791847229,
+      "eval_precision": 0.7761194029850746,
+      "eval_recall": 0.20634920634920634,
+      "eval_runtime": 15.1503,
+      "eval_samples_per_second": 33.333,
+      "eval_steps_per_second": 1.056,
+      "step": 5346
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 5940,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "total_flos": 7000589548260.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": {
+    "alpha": 0.39860510957002215,
+    "learning_rate": 0.0001731817334001406,
+    "num_train_epochs": 10,
+    "per_device_train_batch_size": 16,
+    "temperature": 4
+  }
+}

run-2/checkpoint-5346/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8767ee43a8087c968cdc0eed2d700fdcfad08ca8672daf6f805917fe63cbe37
+size 4920

run-2/checkpoint-5940/config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "label2id": {
+    "negative": "0",
+    "positive": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

run-2/checkpoint-5940/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e376bb92852608ef6ec0d3f81ac25774d117bf0edb3491231149602b95dcf7c7
+size 17549312

run-2/checkpoint-5940/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9cae604b4639c4e5b6ac6236a8af4b73d3b69817c6c76fe8199e92a100bbb51b
+size 35122746

run-2/checkpoint-5940/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:719d827efd2673bcb06f85847967cb92ce9794ecc856aebb0faa9528a3237842
+size 14054

run-2/checkpoint-5940/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8dd1deb4e3b6242b8045a28cc9dfa0b83d08d9657f69b5ce4fe37410f416eb06
+size 1064

run-2/checkpoint-5940/special_tokens_map.json

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

run-2/checkpoint-5940/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": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

run-2/checkpoint-5940/trainer_state.json

@@ -0,0 +1,217 @@
+{
+  "best_metric": 0.5742574257425742,
+  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-5346",
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 5940,
+  "is_hyper_param_search": true,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.7887440323829651,
+      "learning_rate": 0.00015586356006012654,
+      "loss": 0.3246,
+      "step": 594
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5148514851485149,
+      "eval_f1": 0.16382252559726962,
+      "eval_loss": 0.3221835792064667,
+      "eval_precision": 0.5853658536585366,
+      "eval_recall": 0.09523809523809523,
+      "eval_runtime": 15.4228,
+      "eval_samples_per_second": 32.744,
+      "eval_steps_per_second": 1.037,
+      "step": 594
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.6338050961494446,
+      "learning_rate": 0.00013854538672011249,
+      "loss": 0.3178,
+      "step": 1188
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.5168316831683168,
+      "eval_f1": 0.17006802721088435,
+      "eval_loss": 0.31132203340530396,
+      "eval_precision": 0.5952380952380952,
+      "eval_recall": 0.0992063492063492,
+      "eval_runtime": 15.3986,
+      "eval_samples_per_second": 32.795,
+      "eval_steps_per_second": 1.039,
+      "step": 1188
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 1.1013684272766113,
+      "learning_rate": 0.0001212272133800984,
+      "loss": 0.3119,
+      "step": 1782
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5207920792079208,
+      "eval_f1": 0.1986754966887417,
+      "eval_loss": 0.3059851825237274,
+      "eval_precision": 0.6,
+      "eval_recall": 0.11904761904761904,
+      "eval_runtime": 15.2233,
+      "eval_samples_per_second": 33.173,
+      "eval_steps_per_second": 1.051,
+      "step": 1782
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 1.1249533891677856,
+      "learning_rate": 0.00010390904004008435,
+      "loss": 0.3068,
+      "step": 2376
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.5287128712871287,
+      "eval_f1": 0.1793103448275862,
+      "eval_loss": 0.3041296601295471,
+      "eval_precision": 0.6842105263157895,
+      "eval_recall": 0.10317460317460317,
+      "eval_runtime": 15.2189,
+      "eval_samples_per_second": 33.183,
+      "eval_steps_per_second": 1.051,
+      "step": 2376
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 1.003902554512024,
+      "learning_rate": 8.65908667000703e-05,
+      "loss": 0.3031,
+      "step": 2970
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.5465346534653466,
+      "eval_f1": 0.23411371237458192,
+      "eval_loss": 0.3002361059188843,
+      "eval_precision": 0.7446808510638298,
+      "eval_recall": 0.1388888888888889,
+      "eval_runtime": 15.2406,
+      "eval_samples_per_second": 33.135,
+      "eval_steps_per_second": 1.05,
+      "step": 2970
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.5786848068237305,
+      "learning_rate": 6.927269336005624e-05,
+      "loss": 0.3004,
+      "step": 3564
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.5683168316831683,
+      "eval_f1": 0.30128205128205127,
+      "eval_loss": 0.2976093292236328,
+      "eval_precision": 0.7833333333333333,
+      "eval_recall": 0.1865079365079365,
+      "eval_runtime": 15.1978,
+      "eval_samples_per_second": 33.228,
+      "eval_steps_per_second": 1.053,
+      "step": 3564
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 0.880638599395752,
+      "learning_rate": 5.1954520020042175e-05,
+      "loss": 0.2983,
+      "step": 4158
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.5584158415841585,
+      "eval_f1": 0.29652996845425866,
+      "eval_loss": 0.29786166548728943,
+      "eval_precision": 0.7230769230769231,
+      "eval_recall": 0.1865079365079365,
+      "eval_runtime": 15.1508,
+      "eval_samples_per_second": 33.332,
+      "eval_steps_per_second": 1.056,
+      "step": 4158
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 0.8452739119529724,
+      "learning_rate": 3.463634668002812e-05,
+      "loss": 0.296,
+      "step": 4752
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.5722772277227722,
+      "eval_f1": 0.3076923076923077,
+      "eval_loss": 0.29773908853530884,
+      "eval_precision": 0.8,
+      "eval_recall": 0.19047619047619047,
+      "eval_runtime": 15.0116,
+      "eval_samples_per_second": 33.641,
+      "eval_steps_per_second": 1.066,
+      "step": 4752
+    },
+    {
+      "epoch": 9.0,
+      "grad_norm": 1.1398597955703735,
+      "learning_rate": 1.731817334001406e-05,
+      "loss": 0.2955,
+      "step": 5346
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 0.5742574257425742,
+      "eval_f1": 0.3260188087774295,
+      "eval_loss": 0.2973213791847229,
+      "eval_precision": 0.7761194029850746,
+      "eval_recall": 0.20634920634920634,
+      "eval_runtime": 15.1503,
+      "eval_samples_per_second": 33.333,
+      "eval_steps_per_second": 1.056,
+      "step": 5346
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 1.1690034866333008,
+      "learning_rate": 0.0,
+      "loss": 0.2946,
+      "step": 5940
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 0.5742574257425742,
+      "eval_f1": 0.3260188087774295,
+      "eval_loss": 0.2967524230480194,
+      "eval_precision": 0.7761194029850746,
+      "eval_recall": 0.20634920634920634,
+      "eval_runtime": 15.5549,
+      "eval_samples_per_second": 32.466,
+      "eval_steps_per_second": 1.029,
+      "step": 5940
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 5940,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "total_flos": 7778432831400.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": {
+    "alpha": 0.39860510957002215,
+    "learning_rate": 0.0001731817334001406,
+    "num_train_epochs": 10,
+    "per_device_train_batch_size": 16,
+    "temperature": 4
+  }
+}

run-2/checkpoint-5940/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8767ee43a8087c968cdc0eed2d700fdcfad08ca8672daf6f805917fe63cbe37
+size 4920

tokenizer.json

@@ -2,7 +2,7 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 31,
+    "max_length": 33,
     "strategy": "LongestFirst",
     "stride": 0
   },

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af75f9c6fe8c757ab95c11bcebccd415d56f9df41e090382a8d613efac73c43a
+oid sha256:71e3fa9f35ba1a109d4dbcaa99a0da7b79ffac3932fc22f17787de76b9701cac
 size 4920