Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,26 @@
+
+---
+tags:
+- autotrain
+- text-classification
+base_model: FacebookAI/xlm-roberta-base
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 0.6090161800384521
+
+f1: 0.7886178861788617
+
+precision: 0.6879432624113475
+
+recall: 0.9238095238095239
+
+auc: 0.8025062656641604
+
+accuracy: 0.74

checkpoint-300/config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "FacebookAI/xlm-roberta-base",
+  "_num_labels": 2,
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "NONTOXIC",
+    "1": "TOXIC"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NONTOXIC": 0,
+    "TOXIC": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

checkpoint-300/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d8a85af8ed5607450fd4d069979e9ff02ad642953d2d32171a34e1c8dd2083
+size 1112205008

checkpoint-300/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8efe4d3c05dd7c420ff79f96d0c3a2dfdeb4a110f5eaa76fc4eb104dc98d3f71
+size 2224524026

checkpoint-300/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ddf4eb02e917a839b50449a330c1d491ecea7d29591dae65c7c50e726939c49
+size 13990

checkpoint-300/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cabdd96162ecddbb53d954d7eb1984d5ac789bd18a1ad68743eeb1f283f45df1
+size 1064

checkpoint-300/trainer_state.json

@@ -0,0 +1,501 @@
+{
+  "best_metric": 0.6090161800384521,
+  "best_model_checkpoint": "autotrain-k2nef-2mp1e/checkpoint-300",
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 300,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.05,
+      "grad_norm": 2.0926642417907715,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 0.7016,
+      "step": 5
+    },
+    {
+      "epoch": 0.1,
+      "grad_norm": 4.052657127380371,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.7067,
+      "step": 10
+    },
+    {
+      "epoch": 0.15,
+      "grad_norm": 5.750674724578857,
+      "learning_rate": 2.5e-05,
+      "loss": 0.6934,
+      "step": 15
+    },
+    {
+      "epoch": 0.2,
+      "grad_norm": 3.0751872062683105,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.7022,
+      "step": 20
+    },
+    {
+      "epoch": 0.25,
+      "grad_norm": 7.624610900878906,
+      "learning_rate": 4.166666666666667e-05,
+      "loss": 0.6635,
+      "step": 25
+    },
+    {
+      "epoch": 0.3,
+      "grad_norm": 6.501454830169678,
+      "learning_rate": 5e-05,
+      "loss": 0.7008,
+      "step": 30
+    },
+    {
+      "epoch": 0.35,
+      "grad_norm": 1.1909492015838623,
+      "learning_rate": 4.9074074074074075e-05,
+      "loss": 0.7069,
+      "step": 35
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 4.995346546173096,
+      "learning_rate": 4.814814814814815e-05,
+      "loss": 0.6667,
+      "step": 40
+    },
+    {
+      "epoch": 0.45,
+      "grad_norm": 4.344069004058838,
+      "learning_rate": 4.722222222222222e-05,
+      "loss": 0.6798,
+      "step": 45
+    },
+    {
+      "epoch": 0.5,
+      "grad_norm": 2.269436836242676,
+      "learning_rate": 4.62962962962963e-05,
+      "loss": 0.7114,
+      "step": 50
+    },
+    {
+      "epoch": 0.55,
+      "grad_norm": 3.151176929473877,
+      "learning_rate": 4.5370370370370374e-05,
+      "loss": 0.6304,
+      "step": 55
+    },
+    {
+      "epoch": 0.6,
+      "grad_norm": 2.426318407058716,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 0.7266,
+      "step": 60
+    },
+    {
+      "epoch": 0.65,
+      "grad_norm": 2.212985038757324,
+      "learning_rate": 4.351851851851852e-05,
+      "loss": 0.7392,
+      "step": 65
+    },
+    {
+      "epoch": 0.7,
+      "grad_norm": 1.5283116102218628,
+      "learning_rate": 4.259259259259259e-05,
+      "loss": 0.7266,
+      "step": 70
+    },
+    {
+      "epoch": 0.75,
+      "grad_norm": 2.971235752105713,
+      "learning_rate": 4.166666666666667e-05,
+      "loss": 0.6728,
+      "step": 75
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 3.4530913829803467,
+      "learning_rate": 4.074074074074074e-05,
+      "loss": 0.7161,
+      "step": 80
+    },
+    {
+      "epoch": 0.85,
+      "grad_norm": 4.985769271850586,
+      "learning_rate": 3.981481481481482e-05,
+      "loss": 0.6379,
+      "step": 85
+    },
+    {
+      "epoch": 0.9,
+      "grad_norm": 1.9118386507034302,
+      "learning_rate": 3.888888888888889e-05,
+      "loss": 0.6737,
+      "step": 90
+    },
+    {
+      "epoch": 0.95,
+      "grad_norm": 3.0985093116760254,
+      "learning_rate": 3.7962962962962964e-05,
+      "loss": 0.6806,
+      "step": 95
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 8.572888374328613,
+      "learning_rate": 3.7037037037037037e-05,
+      "loss": 0.8093,
+      "step": 100
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.525,
+      "eval_auc": 0.6939348370927318,
+      "eval_f1": 0.6885245901639344,
+      "eval_loss": 0.6925095319747925,
+      "eval_precision": 0.525,
+      "eval_recall": 1.0,
+      "eval_runtime": 35.807,
+      "eval_samples_per_second": 5.585,
+      "eval_steps_per_second": 0.363,
+      "step": 100
+    },
+    {
+      "epoch": 1.05,
+      "grad_norm": 1.2586256265640259,
+      "learning_rate": 3.611111111111111e-05,
+      "loss": 0.716,
+      "step": 105
+    },
+    {
+      "epoch": 1.1,
+      "grad_norm": 1.7259572744369507,
+      "learning_rate": 3.518518518518519e-05,
+      "loss": 0.6773,
+      "step": 110
+    },
+    {
+      "epoch": 1.15,
+      "grad_norm": 1.5281599760055542,
+      "learning_rate": 3.425925925925926e-05,
+      "loss": 0.7073,
+      "step": 115
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 2.143573760986328,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.6748,
+      "step": 120
+    },
+    {
+      "epoch": 1.25,
+      "grad_norm": 2.464813709259033,
+      "learning_rate": 3.240740740740741e-05,
+      "loss": 0.7014,
+      "step": 125
+    },
+    {
+      "epoch": 1.3,
+      "grad_norm": 3.4055287837982178,
+      "learning_rate": 3.148148148148148e-05,
+      "loss": 0.6871,
+      "step": 130
+    },
+    {
+      "epoch": 1.35,
+      "grad_norm": 2.0612735748291016,
+      "learning_rate": 3.055555555555556e-05,
+      "loss": 0.6959,
+      "step": 135
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 4.995764255523682,
+      "learning_rate": 2.962962962962963e-05,
+      "loss": 0.6947,
+      "step": 140
+    },
+    {
+      "epoch": 1.45,
+      "grad_norm": 5.578982830047607,
+      "learning_rate": 2.8703703703703706e-05,
+      "loss": 0.6397,
+      "step": 145
+    },
+    {
+      "epoch": 1.5,
+      "grad_norm": 13.800985336303711,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.7913,
+      "step": 150
+    },
+    {
+      "epoch": 1.55,
+      "grad_norm": 6.1693806648254395,
+      "learning_rate": 2.6851851851851855e-05,
+      "loss": 0.7603,
+      "step": 155
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 2.4309499263763428,
+      "learning_rate": 2.5925925925925925e-05,
+      "loss": 0.6809,
+      "step": 160
+    },
+    {
+      "epoch": 1.65,
+      "grad_norm": 3.3699936866760254,
+      "learning_rate": 2.5e-05,
+      "loss": 0.702,
+      "step": 165
+    },
+    {
+      "epoch": 1.7,
+      "grad_norm": 7.083240032196045,
+      "learning_rate": 2.4074074074074074e-05,
+      "loss": 0.7349,
+      "step": 170
+    },
+    {
+      "epoch": 1.75,
+      "grad_norm": 3.991142988204956,
+      "learning_rate": 2.314814814814815e-05,
+      "loss": 0.6858,
+      "step": 175
+    },
+    {
+      "epoch": 1.8,
+      "grad_norm": 2.0945520401000977,
+      "learning_rate": 2.2222222222222223e-05,
+      "loss": 0.7108,
+      "step": 180
+    },
+    {
+      "epoch": 1.85,
+      "grad_norm": 4.659959316253662,
+      "learning_rate": 2.1296296296296296e-05,
+      "loss": 0.6984,
+      "step": 185
+    },
+    {
+      "epoch": 1.9,
+      "grad_norm": 5.092476844787598,
+      "learning_rate": 2.037037037037037e-05,
+      "loss": 0.7022,
+      "step": 190
+    },
+    {
+      "epoch": 1.95,
+      "grad_norm": 3.881072521209717,
+      "learning_rate": 1.9444444444444445e-05,
+      "loss": 0.6897,
+      "step": 195
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 2.4203667640686035,
+      "learning_rate": 1.8518518518518518e-05,
+      "loss": 0.7064,
+      "step": 200
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.53,
+      "eval_auc": 0.7506766917293233,
+      "eval_f1": 0.6907894736842105,
+      "eval_loss": 0.6854195594787598,
+      "eval_precision": 0.5276381909547738,
+      "eval_recall": 1.0,
+      "eval_runtime": 35.8907,
+      "eval_samples_per_second": 5.572,
+      "eval_steps_per_second": 0.362,
+      "step": 200
+    },
+    {
+      "epoch": 2.05,
+      "grad_norm": 4.770285606384277,
+      "learning_rate": 1.7592592592592595e-05,
+      "loss": 0.688,
+      "step": 205
+    },
+    {
+      "epoch": 2.1,
+      "grad_norm": 2.5155324935913086,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.6474,
+      "step": 210
+    },
+    {
+      "epoch": 2.15,
+      "grad_norm": 2.7012557983398438,
+      "learning_rate": 1.574074074074074e-05,
+      "loss": 0.7223,
+      "step": 215
+    },
+    {
+      "epoch": 2.2,
+      "grad_norm": 4.726611614227295,
+      "learning_rate": 1.4814814814814815e-05,
+      "loss": 0.6941,
+      "step": 220
+    },
+    {
+      "epoch": 2.25,
+      "grad_norm": 1.7803250551223755,
+      "learning_rate": 1.388888888888889e-05,
+      "loss": 0.6845,
+      "step": 225
+    },
+    {
+      "epoch": 2.3,
+      "grad_norm": 11.724671363830566,
+      "learning_rate": 1.2962962962962962e-05,
+      "loss": 0.6677,
+      "step": 230
+    },
+    {
+      "epoch": 2.35,
+      "grad_norm": 5.12057638168335,
+      "learning_rate": 1.2037037037037037e-05,
+      "loss": 0.6699,
+      "step": 235
+    },
+    {
+      "epoch": 2.4,
+      "grad_norm": 4.75656270980835,
+      "learning_rate": 1.1111111111111112e-05,
+      "loss": 0.7428,
+      "step": 240
+    },
+    {
+      "epoch": 2.45,
+      "grad_norm": 7.563472747802734,
+      "learning_rate": 1.0185185185185185e-05,
+      "loss": 0.6592,
+      "step": 245
+    },
+    {
+      "epoch": 2.5,
+      "grad_norm": 1.8900893926620483,
+      "learning_rate": 9.259259259259259e-06,
+      "loss": 0.6835,
+      "step": 250
+    },
+    {
+      "epoch": 2.55,
+      "grad_norm": 6.5432024002075195,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 0.6682,
+      "step": 255
+    },
+    {
+      "epoch": 2.6,
+      "grad_norm": 3.4254777431488037,
+      "learning_rate": 7.4074074074074075e-06,
+      "loss": 0.7187,
+      "step": 260
+    },
+    {
+      "epoch": 2.65,
+      "grad_norm": 5.301848411560059,
+      "learning_rate": 6.481481481481481e-06,
+      "loss": 0.6392,
+      "step": 265
+    },
+    {
+      "epoch": 2.7,
+      "grad_norm": 2.3317384719848633,
+      "learning_rate": 5.555555555555556e-06,
+      "loss": 0.6316,
+      "step": 270
+    },
+    {
+      "epoch": 2.75,
+      "grad_norm": 4.123948574066162,
+      "learning_rate": 4.6296296296296296e-06,
+      "loss": 0.6764,
+      "step": 275
+    },
+    {
+      "epoch": 2.8,
+      "grad_norm": 6.580291748046875,
+      "learning_rate": 3.7037037037037037e-06,
+      "loss": 0.6914,
+      "step": 280
+    },
+    {
+      "epoch": 2.85,
+      "grad_norm": 6.623916149139404,
+      "learning_rate": 2.777777777777778e-06,
+      "loss": 0.5946,
+      "step": 285
+    },
+    {
+      "epoch": 2.9,
+      "grad_norm": 13.349700927734375,
+      "learning_rate": 1.8518518518518519e-06,
+      "loss": 0.6564,
+      "step": 290
+    },
+    {
+      "epoch": 2.95,
+      "grad_norm": 29.791109085083008,
+      "learning_rate": 9.259259259259259e-07,
+      "loss": 0.613,
+      "step": 295
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 3.5324182510375977,
+      "learning_rate": 0.0,
+      "loss": 0.5895,
+      "step": 300
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.74,
+      "eval_auc": 0.8025062656641604,
+      "eval_f1": 0.7886178861788617,
+      "eval_loss": 0.6090161800384521,
+      "eval_precision": 0.6879432624113475,
+      "eval_recall": 0.9238095238095239,
+      "eval_runtime": 40.0605,
+      "eval_samples_per_second": 4.992,
+      "eval_steps_per_second": 0.325,
+      "step": 300
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 300,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 157866633216000.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-300/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb8ba97e85c548fccb145838b54bf018b26f9757bc98d1b873003e64a7993366
+size 5240

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "FacebookAI/xlm-roberta-base",
+  "_num_labels": 2,
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "NONTOXIC",
+    "1": "TOXIC"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NONTOXIC": 0,
+    "TOXIC": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d8a85af8ed5607450fd4d069979e9ff02ad642953d2d32171a34e1c8dd2083
+size 1112205008

runs/Nov03_16-28-56_r-bgonzalezbustamante-autotrain-cpu-basic-05k7pl17-01b73-wh5dr/events.out.tfevents.1730651339.r-bgonzalezbustamante-autotrain-cpu-basic-05k7pl17-01b73-wh5dr.108.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:108bcf99c90e15356095eab36d09320b66f45fce13cf804862a937443680e4ce
-size 18127
+oid sha256:324f8ec6ee90c1fd14977a855945025fc9133232d59f44a2528183edbd7407b0
+size 19633

runs/Nov03_16-28-56_r-bgonzalezbustamante-autotrain-cpu-basic-05k7pl17-01b73-wh5dr/events.out.tfevents.1730654082.r-bgonzalezbustamante-autotrain-cpu-basic-05k7pl17-01b73-wh5dr.108.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3de21afc1c616a7033663f2b60aaa4531eeabc7cf945866fc1fc04551e8871d
+size 607

sentencepiece.bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
+size 5069051

special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c088c06cf975b7097e469bd69630cdb0d675c6db1ce3af1042b6e19c6d01f22
+size 17082999

tokenizer_config.json

@@ -0,0 +1,54 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "250001": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb8ba97e85c548fccb145838b54bf018b26f9757bc98d1b873003e64a7993366
+size 5240

training_params.json

@@ -0,0 +1,30 @@
+{
+    "data_path": "autotrain-k2nef-2mp1e/autotrain-data",
+    "model": "FacebookAI/xlm-roberta-base",
+    "lr": 5e-05,
+    "epochs": 3,
+    "max_seq_length": 128,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": "validation",
+    "text_column": "autotrain_text",
+    "target_column": "autotrain_label",
+    "logging_steps": -1,
+    "project_name": "autotrain-k2nef-2mp1e",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "username": "bgonzalezbustamante",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}