Upload with huggingface_hub

Browse files

Files changed (10) hide show

README.md +15 -0
all_results.json +20 -0
config.json +67 -0
eval_predictions.csv +0 -0
pytorch_model.bin +3 -0
special_tokens_map.json +1 -0
test_predictions.csv +0 -0
tokenizer_config.json +1 -0
trainer_state.json +649 -0
training_args.bin +3 -0

README.md ADDED Viewed

	@@ -0,0 +1,15 @@

+---
+license: apache-2.0
+tags:
+- canine
+- pretrained-on-english-language
+---
+### How to use
+Here is how to use this model:
+```python
+from transformers import CanineModel
+model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
+```

all_results.json ADDED Viewed

	@@ -0,0 +1,20 @@

+{
+    "epoch": 181.82,
+    "eval_accuracy": 0.8567830467257253,
+    "eval_loss": 1.434157371520996,
+    "eval_runtime": 3.1597,
+    "eval_samples": 800,
+    "eval_samples_per_second": 253.186,
+    "eval_steps_per_second": 31.648,
+    "test_accuracy": 0.8472605604349644,
+    "test_loss": 1.4741781949996948,
+    "test_runtime": 3.1659,
+    "test_samples": 800,
+    "test_samples_per_second": 252.694,
+    "test_steps_per_second": 31.587,
+    "train_loss": 0.04628073706757277,
+    "train_runtime": 1159.4207,
+    "train_samples": 1400,
+    "train_samples_per_second": 414.0,
+    "train_steps_per_second": 12.937
+}

config.json ADDED Viewed

	@@ -0,0 +1,67 @@

+{
+  "_name_or_path": "google/canine-s",
+  "architectures": [
+    "CanineForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 57344,
+  "downsampling_rate": 4,
+  "eos_token_id": 57345,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ADJ",
+    "1": "ADP",
+    "2": "ADV",
+    "3": "AUX",
+    "4": "CCONJ",
+    "5": "DET",
+    "6": "INTJ",
+    "7": "NOUN",
+    "8": "NUM",
+    "9": "PART",
+    "10": "PRON",
+    "11": "PROPN",
+    "12": "PUNCT",
+    "13": "SCONJ",
+    "14": "SYM",
+    "15": "VERB",
+    "16": "X"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ADJ": 0,
+    "ADP": 1,
+    "ADV": 2,
+    "AUX": 3,
+    "CCONJ": 4,
+    "DET": 5,
+    "INTJ": 6,
+    "NOUN": 7,
+    "NUM": 8,
+    "PART": 9,
+    "PRON": 10,
+    "PROPN": 11,
+    "PUNCT": 12,
+    "SCONJ": 13,
+    "SYM": 14,
+    "VERB": 15,
+    "X": 16
+  },
+  "layer_norm_eps": 1e-12,
+  "local_transformer_stride": 128,
+  "max_position_embeddings": 16384,
+  "model_type": "canine",
+  "num_attention_heads": 12,
+  "num_hash_buckets": 16384,
+  "num_hash_functions": 8,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0",
+  "type_vocab_size": 16,
+  "upsampling_kernel_size": 4,
+  "use_cache": true
+}

eval_predictions.csv ADDED Viewed

The diff for this file is too large to render. See raw diff

pytorch_model.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a5aa416ad637205cbecf655e4a50bd023c88c4aa5a484c4806871c5b8f8b4f42
+size 528619377

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"bos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "\u0000", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}

test_predictions.csv ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"bos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "\u0000", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 2048, "special_tokens_map_file": "/home/mrahma45/.cache/huggingface/transformers/00ffef2919c64d09945b6c06b1c03c4d18bf55f88013390d4443a1eb8c4f8a10.ab71f530366fe02e2834427e7b90198bfd0d573bc4279bfafdb2b95fe2b46dde", "name_or_path": "google/canine-s", "tokenizer_class": "CanineTokenizer"}

trainer_state.json ADDED Viewed

	@@ -0,0 +1,649 @@

+{
+  "best_metric": 0.8567830467257253,
+  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-pos-ud-Vietnamese-VTB/checkpoint-5500",
+  "epoch": 181.8181818181818,
+  "global_step": 8000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.27,
+      "learning_rate": 8e-05,
+      "loss": 1.7158,
+      "step": 100
+    },
+    {
+      "epoch": 4.55,
+      "learning_rate": 7.946308724832215e-05,
+      "loss": 0.6087,
+      "step": 200
+    },
+    {
+      "epoch": 6.82,
+      "learning_rate": 7.89261744966443e-05,
+      "loss": 0.3469,
+      "step": 300
+    },
+    {
+      "epoch": 9.09,
+      "learning_rate": 7.838926174496645e-05,
+      "loss": 0.2155,
+      "step": 400
+    },
+    {
+      "epoch": 11.36,
+      "learning_rate": 7.78523489932886e-05,
+      "loss": 0.1352,
+      "step": 500
+    },
+    {
+      "epoch": 11.36,
+      "eval_accuracy": 0.845839847142609,
+      "eval_loss": 0.7401469945907593,
+      "eval_runtime": 3.1919,
+      "eval_samples_per_second": 250.631,
+      "eval_steps_per_second": 31.329,
+      "step": 500
+    },
+    {
+      "epoch": 13.64,
+      "learning_rate": 7.731543624161075e-05,
+      "loss": 0.0882,
+      "step": 600
+    },
+    {
+      "epoch": 15.91,
+      "learning_rate": 7.677852348993288e-05,
+      "loss": 0.0645,
+      "step": 700
+    },
+    {
+      "epoch": 18.18,
+      "learning_rate": 7.624161073825503e-05,
+      "loss": 0.0481,
+      "step": 800
+    },
+    {
+      "epoch": 20.45,
+      "learning_rate": 7.570469798657718e-05,
+      "loss": 0.0386,
+      "step": 900
+    },
+    {
+      "epoch": 22.73,
+      "learning_rate": 7.516778523489933e-05,
+      "loss": 0.0322,
+      "step": 1000
+    },
+    {
+      "epoch": 22.73,
+      "eval_accuracy": 0.8473163105784263,
+      "eval_loss": 0.9984953999519348,
+      "eval_runtime": 3.1616,
+      "eval_samples_per_second": 253.035,
+      "eval_steps_per_second": 31.629,
+      "step": 1000
+    },
+    {
+      "epoch": 25.0,
+      "learning_rate": 7.463087248322148e-05,
+      "loss": 0.0243,
+      "step": 1100
+    },
+    {
+      "epoch": 27.27,
+      "learning_rate": 7.409395973154362e-05,
+      "loss": 0.0221,
+      "step": 1200
+    },
+    {
+      "epoch": 29.55,
+      "learning_rate": 7.355704697986577e-05,
+      "loss": 0.0192,
+      "step": 1300
+    },
+    {
+      "epoch": 31.82,
+      "learning_rate": 7.302013422818792e-05,
+      "loss": 0.0158,
+      "step": 1400
+    },
+    {
+      "epoch": 34.09,
+      "learning_rate": 7.248322147651007e-05,
+      "loss": 0.0182,
+      "step": 1500
+    },
+    {
+      "epoch": 34.09,
+      "eval_accuracy": 0.8484453708528747,
+      "eval_loss": 1.106465220451355,
+      "eval_runtime": 3.1709,
+      "eval_samples_per_second": 252.294,
+      "eval_steps_per_second": 31.537,
+      "step": 1500
+    },
+    {
+      "epoch": 36.36,
+      "learning_rate": 7.194630872483222e-05,
+      "loss": 0.0173,
+      "step": 1600
+    },
+    {
+      "epoch": 38.64,
+      "learning_rate": 7.140939597315438e-05,
+      "loss": 0.0136,
+      "step": 1700
+    },
+    {
+      "epoch": 40.91,
+      "learning_rate": 7.087248322147653e-05,
+      "loss": 0.0116,
+      "step": 1800
+    },
+    {
+      "epoch": 43.18,
+      "learning_rate": 7.033557046979866e-05,
+      "loss": 0.01,
+      "step": 1900
+    },
+    {
+      "epoch": 45.45,
+      "learning_rate": 6.979865771812081e-05,
+      "loss": 0.0112,
+      "step": 2000
+    },
+    {
+      "epoch": 45.45,
+      "eval_accuracy": 0.8446239360778183,
+      "eval_loss": 1.2097970247268677,
+      "eval_runtime": 3.165,
+      "eval_samples_per_second": 252.768,
+      "eval_steps_per_second": 31.596,
+      "step": 2000
+    },
+    {
+      "epoch": 47.73,
+      "learning_rate": 6.926174496644296e-05,
+      "loss": 0.009,
+      "step": 2100
+    },
+    {
+      "epoch": 50.0,
+      "learning_rate": 6.87248322147651e-05,
+      "loss": 0.0103,
+      "step": 2200
+    },
+    {
+      "epoch": 52.27,
+      "learning_rate": 6.818791946308725e-05,
+      "loss": 0.0096,
+      "step": 2300
+    },
+    {
+      "epoch": 54.55,
+      "learning_rate": 6.76510067114094e-05,
+      "loss": 0.008,
+      "step": 2400
+    },
+    {
+      "epoch": 56.82,
+      "learning_rate": 6.711409395973155e-05,
+      "loss": 0.008,
+      "step": 2500
+    },
+    {
+      "epoch": 56.82,
+      "eval_accuracy": 0.8536564182734063,
+      "eval_loss": 1.282847285270691,
+      "eval_runtime": 3.1784,
+      "eval_samples_per_second": 251.698,
+      "eval_steps_per_second": 31.462,
+      "step": 2500
+    },
+    {
+      "epoch": 59.09,
+      "learning_rate": 6.65771812080537e-05,
+      "loss": 0.0073,
+      "step": 2600
+    },
+    {
+      "epoch": 61.36,
+      "learning_rate": 6.604026845637585e-05,
+      "loss": 0.008,
+      "step": 2700
+    },
+    {
+      "epoch": 63.64,
+      "learning_rate": 6.5503355704698e-05,
+      "loss": 0.0076,
+      "step": 2800
+    },
+    {
+      "epoch": 65.91,
+      "learning_rate": 6.496644295302014e-05,
+      "loss": 0.0072,
+      "step": 2900
+    },
+    {
+      "epoch": 68.18,
+      "learning_rate": 6.442953020134228e-05,
+      "loss": 0.0064,
+      "step": 3000
+    },
+    {
+      "epoch": 68.18,
+      "eval_accuracy": 0.8514851485148515,
+      "eval_loss": 1.265517234802246,
+      "eval_runtime": 3.1864,
+      "eval_samples_per_second": 251.068,
+      "eval_steps_per_second": 31.384,
+      "step": 3000
+    },
+    {
+      "epoch": 70.45,
+      "learning_rate": 6.389261744966443e-05,
+      "loss": 0.0054,
+      "step": 3100
+    },
+    {
+      "epoch": 72.73,
+      "learning_rate": 6.335570469798657e-05,
+      "loss": 0.0047,
+      "step": 3200
+    },
+    {
+      "epoch": 75.0,
+      "learning_rate": 6.281879194630872e-05,
+      "loss": 0.0064,
+      "step": 3300
+    },
+    {
+      "epoch": 77.27,
+      "learning_rate": 6.228187919463087e-05,
+      "loss": 0.0057,
+      "step": 3400
+    },
+    {
+      "epoch": 79.55,
+      "learning_rate": 6.174496644295302e-05,
+      "loss": 0.0064,
+      "step": 3500
+    },
+    {
+      "epoch": 79.55,
+      "eval_accuracy": 0.8527879103699844,
+      "eval_loss": 1.328222393989563,
+      "eval_runtime": 3.1799,
+      "eval_samples_per_second": 251.578,
+      "eval_steps_per_second": 31.447,
+      "step": 3500
+    },
+    {
+      "epoch": 81.82,
+      "learning_rate": 6.120805369127517e-05,
+      "loss": 0.0055,
+      "step": 3600
+    },
+    {
+      "epoch": 84.09,
+      "learning_rate": 6.067114093959732e-05,
+      "loss": 0.0056,
+      "step": 3700
+    },
+    {
+      "epoch": 86.36,
+      "learning_rate": 6.013422818791947e-05,
+      "loss": 0.0049,
+      "step": 3800
+    },
+    {
+      "epoch": 88.64,
+      "learning_rate": 5.959731543624162e-05,
+      "loss": 0.0035,
+      "step": 3900
+    },
+    {
+      "epoch": 90.91,
+      "learning_rate": 5.906040268456377e-05,
+      "loss": 0.0045,
+      "step": 4000
+    },
+    {
+      "epoch": 90.91,
+      "eval_accuracy": 0.8500955358693764,
+      "eval_loss": 1.3510583639144897,
+      "eval_runtime": 3.1875,
+      "eval_samples_per_second": 250.981,
+      "eval_steps_per_second": 31.373,
+      "step": 4000
+    },
+    {
+      "epoch": 93.18,
+      "learning_rate": 5.8523489932885916e-05,
+      "loss": 0.0038,
+      "step": 4100
+    },
+    {
+      "epoch": 95.45,
+      "learning_rate": 5.798657718120806e-05,
+      "loss": 0.0033,
+      "step": 4200
+    },
+    {
+      "epoch": 97.73,
+      "learning_rate": 5.7449664429530206e-05,
+      "loss": 0.004,
+      "step": 4300
+    },
+    {
+      "epoch": 100.0,
+      "learning_rate": 5.6912751677852354e-05,
+      "loss": 0.0042,
+      "step": 4400
+    },
+    {
+      "epoch": 102.27,
+      "learning_rate": 5.63758389261745e-05,
+      "loss": 0.0047,
+      "step": 4500
+    },
+    {
+      "epoch": 102.27,
+      "eval_accuracy": 0.8551328817092235,
+      "eval_loss": 1.3701601028442383,
+      "eval_runtime": 3.1715,
+      "eval_samples_per_second": 252.247,
+      "eval_steps_per_second": 31.531,
+      "step": 4500
+    },
+    {
+      "epoch": 104.55,
+      "learning_rate": 5.583892617449665e-05,
+      "loss": 0.004,
+      "step": 4600
+    },
+    {
+      "epoch": 106.82,
+      "learning_rate": 5.53020134228188e-05,
+      "loss": 0.0031,
+      "step": 4700
+    },
+    {
+      "epoch": 109.09,
+      "learning_rate": 5.476510067114095e-05,
+      "loss": 0.0047,
+      "step": 4800
+    },
+    {
+      "epoch": 111.36,
+      "learning_rate": 5.4228187919463095e-05,
+      "loss": 0.0028,
+      "step": 4900
+    },
+    {
+      "epoch": 113.64,
+      "learning_rate": 5.369127516778524e-05,
+      "loss": 0.0039,
+      "step": 5000
+    },
+    {
+      "epoch": 113.64,
+      "eval_accuracy": 0.8559145388223033,
+      "eval_loss": 1.4116061925888062,
+      "eval_runtime": 3.1845,
+      "eval_samples_per_second": 251.218,
+      "eval_steps_per_second": 31.402,
+      "step": 5000
+    },
+    {
+      "epoch": 115.91,
+      "learning_rate": 5.315436241610739e-05,
+      "loss": 0.004,
+      "step": 5100
+    },
+    {
+      "epoch": 118.18,
+      "learning_rate": 5.261744966442954e-05,
+      "loss": 0.0034,
+      "step": 5200
+    },
+    {
+      "epoch": 120.45,
+      "learning_rate": 5.208053691275168e-05,
+      "loss": 0.0027,
+      "step": 5300
+    },
+    {
+      "epoch": 122.73,
+      "learning_rate": 5.154362416107383e-05,
+      "loss": 0.0023,
+      "step": 5400
+    },
+    {
+      "epoch": 125.0,
+      "learning_rate": 5.100671140939598e-05,
+      "loss": 0.0029,
+      "step": 5500
+    },
+    {
+      "epoch": 125.0,
+      "eval_accuracy": 0.8567830467257253,
+      "eval_loss": 1.434157371520996,
+      "eval_runtime": 3.1462,
+      "eval_samples_per_second": 254.277,
+      "eval_steps_per_second": 31.785,
+      "step": 5500
+    },
+    {
+      "epoch": 127.27,
+      "learning_rate": 5.0469798657718126e-05,
+      "loss": 0.0027,
+      "step": 5600
+    },
+    {
+      "epoch": 129.55,
+      "learning_rate": 4.9932885906040274e-05,
+      "loss": 0.0033,
+      "step": 5700
+    },
+    {
+      "epoch": 131.82,
+      "learning_rate": 4.939597315436242e-05,
+      "loss": 0.0029,
+      "step": 5800
+    },
+    {
+      "epoch": 134.09,
+      "learning_rate": 4.885906040268457e-05,
+      "loss": 0.0023,
+      "step": 5900
+    },
+    {
+      "epoch": 136.36,
+      "learning_rate": 4.832214765100672e-05,
+      "loss": 0.0033,
+      "step": 6000
+    },
+    {
+      "epoch": 136.36,
+      "eval_accuracy": 0.854003821434775,
+      "eval_loss": 1.4268622398376465,
+      "eval_runtime": 3.1765,
+      "eval_samples_per_second": 251.849,
+      "eval_steps_per_second": 31.481,
+      "step": 6000
+    },
+    {
+      "epoch": 138.64,
+      "learning_rate": 4.779060402684564e-05,
+      "loss": 0.0031,
+      "step": 6100
+    },
+    {
+      "epoch": 140.91,
+      "learning_rate": 4.725369127516779e-05,
+      "loss": 0.0031,
+      "step": 6200
+    },
+    {
+      "epoch": 143.18,
+      "learning_rate": 4.6716778523489936e-05,
+      "loss": 0.0031,
+      "step": 6300
+    },
+    {
+      "epoch": 145.45,
+      "learning_rate": 4.6179865771812084e-05,
+      "loss": 0.0024,
+      "step": 6400
+    },
+    {
+      "epoch": 147.73,
+      "learning_rate": 4.564295302013423e-05,
+      "loss": 0.0033,
+      "step": 6500
+    },
+    {
+      "epoch": 147.73,
+      "eval_accuracy": 0.853048462741011,
+      "eval_loss": 1.4698809385299683,
+      "eval_runtime": 3.1835,
+      "eval_samples_per_second": 251.299,
+      "eval_steps_per_second": 31.412,
+      "step": 6500
+    },
+    {
+      "epoch": 150.0,
+      "learning_rate": 4.510604026845638e-05,
+      "loss": 0.0023,
+      "step": 6600
+    },
+    {
+      "epoch": 152.27,
+      "learning_rate": 4.456912751677853e-05,
+      "loss": 0.0022,
+      "step": 6700
+    },
+    {
+      "epoch": 154.55,
+      "learning_rate": 4.403221476510068e-05,
+      "loss": 0.0026,
+      "step": 6800
+    },
+    {
+      "epoch": 156.82,
+      "learning_rate": 4.3495302013422825e-05,
+      "loss": 0.002,
+      "step": 6900
+    },
+    {
+      "epoch": 159.09,
+      "learning_rate": 4.295838926174497e-05,
+      "loss": 0.0019,
+      "step": 7000
+    },
+    {
+      "epoch": 159.09,
+      "eval_accuracy": 0.8554802848705924,
+      "eval_loss": 1.4916952848434448,
+      "eval_runtime": 3.1771,
+      "eval_samples_per_second": 251.799,
+      "eval_steps_per_second": 31.475,
+      "step": 7000
+    },
+    {
+      "epoch": 161.36,
+      "learning_rate": 4.242147651006712e-05,
+      "loss": 0.0032,
+      "step": 7100
+    },
+    {
+      "epoch": 163.64,
+      "learning_rate": 4.188456375838927e-05,
+      "loss": 0.002,
+      "step": 7200
+    },
+    {
+      "epoch": 165.91,
+      "learning_rate": 4.134765100671141e-05,
+      "loss": 0.0022,
+      "step": 7300
+    },
+    {
+      "epoch": 168.18,
+      "learning_rate": 4.081073825503356e-05,
+      "loss": 0.0016,
+      "step": 7400
+    },
+    {
+      "epoch": 170.45,
+      "learning_rate": 4.027382550335571e-05,
+      "loss": 0.0018,
+      "step": 7500
+    },
+    {
+      "epoch": 170.45,
+      "eval_accuracy": 0.854872329338197,
+      "eval_loss": 1.4624574184417725,
+      "eval_runtime": 3.1705,
+      "eval_samples_per_second": 252.327,
+      "eval_steps_per_second": 31.541,
+      "step": 7500
+    },
+    {
+      "epoch": 172.73,
+      "learning_rate": 3.9736912751677856e-05,
+      "loss": 0.0017,
+      "step": 7600
+    },
+    {
+      "epoch": 175.0,
+      "learning_rate": 3.9200000000000004e-05,
+      "loss": 0.0014,
+      "step": 7700
+    },
+    {
+      "epoch": 177.27,
+      "learning_rate": 3.866308724832215e-05,
+      "loss": 0.0009,
+      "step": 7800
+    },
+    {
+      "epoch": 179.55,
+      "learning_rate": 3.81261744966443e-05,
+      "loss": 0.0014,
+      "step": 7900
+    },
+    {
+      "epoch": 181.82,
+      "learning_rate": 3.758926174496645e-05,
+      "loss": 0.001,
+      "step": 8000
+    },
+    {
+      "epoch": 181.82,
+      "eval_accuracy": 0.8567830467257253,
+      "eval_loss": 1.5747320652008057,
+      "eval_runtime": 3.1536,
+      "eval_samples_per_second": 253.674,
+      "eval_steps_per_second": 31.709,
+      "step": 8000
+    },
+    {
+      "epoch": 181.82,
+      "step": 8000,
+      "total_flos": 4.180403182626816e+16,
+      "train_loss": 0.04628073706757277,
+      "train_runtime": 1159.4207,
+      "train_samples_per_second": 414.0,
+      "train_steps_per_second": 12.937
+    }
+  ],
+  "max_steps": 15000,
+  "num_train_epochs": 341,
+  "total_flos": 4.180403182626816e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6f1df1695bf4ed5c88dfb74b2d1449d1a21de5f5d1fd7364b1d8cf0b90d04361
+size 3387