Upload folder using huggingface_hub

README.md

@@ -0,0 +1,26 @@
+
+---
+tags:
+- autotrain
+- text-classification
+base_model: google-bert/bert-base-uncased
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 0.2697308361530304
+
+f1: 0.6904761904761905
+
+precision: 0.6590909090909091
+
+recall: 0.725
+
+auc: 0.942822966507177
+
+accuracy: 0.8955823293172691

checkpoint-250/config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "_num_labels": 2,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Lead",
+    "1": "Not Lead"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Lead": 0,
+    "Not Lead": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

checkpoint-250/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5086cec2e46600be616b402d3dea56d6075e8d3b6dd12af89ae940d571499ccd
+size 437958648

checkpoint-250/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fd0c7f0a41090cf1787f063c53d3d058a9ce0efdb59c0d5efecc5bb0cb95216
+size 876032762

checkpoint-250/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7b121e1d4bd6253670a6fb81eab437c55a7d3429478e1a67cc9f2e0ac7888a3
+size 13990

checkpoint-250/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:209609ae7e050ccedf390a21a9e0cc67ae2a4f14bc8cb1ccd1a88b8b7c8b4e32
+size 1064

checkpoint-250/trainer_state.json

@@ -0,0 +1,355 @@
+{
+  "best_metric": 0.2697308361530304,
+  "best_model_checkpoint": "autotrain-9d8m7-5e3go/checkpoint-250",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 250,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.048,
+      "grad_norm": 10.31029987335205,
+      "learning_rate": 7.894736842105263e-06,
+      "loss": 0.9688,
+      "step": 6
+    },
+    {
+      "epoch": 0.096,
+      "grad_norm": 6.658392906188965,
+      "learning_rate": 1.5789473684210526e-05,
+      "loss": 0.6108,
+      "step": 12
+    },
+    {
+      "epoch": 0.144,
+      "grad_norm": 12.619353294372559,
+      "learning_rate": 2.368421052631579e-05,
+      "loss": 0.5394,
+      "step": 18
+    },
+    {
+      "epoch": 0.192,
+      "grad_norm": 1.8838263750076294,
+      "learning_rate": 3.157894736842105e-05,
+      "loss": 0.4617,
+      "step": 24
+    },
+    {
+      "epoch": 0.24,
+      "grad_norm": 8.438435554504395,
+      "learning_rate": 3.9473684210526316e-05,
+      "loss": 0.443,
+      "step": 30
+    },
+    {
+      "epoch": 0.288,
+      "grad_norm": 5.801192760467529,
+      "learning_rate": 4.736842105263158e-05,
+      "loss": 0.433,
+      "step": 36
+    },
+    {
+      "epoch": 0.336,
+      "grad_norm": 4.70213508605957,
+      "learning_rate": 4.9406528189910986e-05,
+      "loss": 0.4381,
+      "step": 42
+    },
+    {
+      "epoch": 0.384,
+      "grad_norm": 5.330947399139404,
+      "learning_rate": 4.851632047477745e-05,
+      "loss": 0.4312,
+      "step": 48
+    },
+    {
+      "epoch": 0.432,
+      "grad_norm": 3.07973313331604,
+      "learning_rate": 4.762611275964392e-05,
+      "loss": 0.3787,
+      "step": 54
+    },
+    {
+      "epoch": 0.48,
+      "grad_norm": 6.628166675567627,
+      "learning_rate": 4.673590504451038e-05,
+      "loss": 0.2378,
+      "step": 60
+    },
+    {
+      "epoch": 0.528,
+      "grad_norm": 1.0855748653411865,
+      "learning_rate": 4.584569732937686e-05,
+      "loss": 0.2797,
+      "step": 66
+    },
+    {
+      "epoch": 0.576,
+      "grad_norm": 1.5934823751449585,
+      "learning_rate": 4.4955489614243326e-05,
+      "loss": 0.2863,
+      "step": 72
+    },
+    {
+      "epoch": 0.624,
+      "grad_norm": 2.8034512996673584,
+      "learning_rate": 4.4065281899109794e-05,
+      "loss": 0.5325,
+      "step": 78
+    },
+    {
+      "epoch": 0.672,
+      "grad_norm": 12.93682861328125,
+      "learning_rate": 4.317507418397626e-05,
+      "loss": 0.3248,
+      "step": 84
+    },
+    {
+      "epoch": 0.72,
+      "grad_norm": 9.533049583435059,
+      "learning_rate": 4.228486646884273e-05,
+      "loss": 0.2357,
+      "step": 90
+    },
+    {
+      "epoch": 0.768,
+      "grad_norm": 12.49010181427002,
+      "learning_rate": 4.1394658753709205e-05,
+      "loss": 0.557,
+      "step": 96
+    },
+    {
+      "epoch": 0.816,
+      "grad_norm": 1.8601925373077393,
+      "learning_rate": 4.050445103857567e-05,
+      "loss": 0.2432,
+      "step": 102
+    },
+    {
+      "epoch": 0.864,
+      "grad_norm": 4.38627815246582,
+      "learning_rate": 3.961424332344214e-05,
+      "loss": 0.1943,
+      "step": 108
+    },
+    {
+      "epoch": 0.912,
+      "grad_norm": 5.118112087249756,
+      "learning_rate": 3.87240356083086e-05,
+      "loss": 0.5135,
+      "step": 114
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 12.806257247924805,
+      "learning_rate": 3.783382789317508e-05,
+      "loss": 0.4216,
+      "step": 120
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8634538152610441,
+      "eval_auc": 0.917822966507177,
+      "eval_f1": 0.41379310344827586,
+      "eval_loss": 0.27404287457466125,
+      "eval_precision": 0.6666666666666666,
+      "eval_recall": 0.3,
+      "eval_runtime": 38.5461,
+      "eval_samples_per_second": 6.46,
+      "eval_steps_per_second": 0.415,
+      "step": 125
+    },
+    {
+      "epoch": 1.008,
+      "grad_norm": 3.2676734924316406,
+      "learning_rate": 3.6943620178041546e-05,
+      "loss": 0.273,
+      "step": 126
+    },
+    {
+      "epoch": 1.056,
+      "grad_norm": 4.2453203201293945,
+      "learning_rate": 3.6053412462908014e-05,
+      "loss": 0.1784,
+      "step": 132
+    },
+    {
+      "epoch": 1.104,
+      "grad_norm": 4.445944309234619,
+      "learning_rate": 3.516320474777448e-05,
+      "loss": 0.307,
+      "step": 138
+    },
+    {
+      "epoch": 1.152,
+      "grad_norm": 3.5331907272338867,
+      "learning_rate": 3.427299703264095e-05,
+      "loss": 0.2794,
+      "step": 144
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 1.581238865852356,
+      "learning_rate": 3.338278931750742e-05,
+      "loss": 0.3854,
+      "step": 150
+    },
+    {
+      "epoch": 1.248,
+      "grad_norm": 10.242961883544922,
+      "learning_rate": 3.249258160237389e-05,
+      "loss": 0.1236,
+      "step": 156
+    },
+    {
+      "epoch": 1.296,
+      "grad_norm": 11.508437156677246,
+      "learning_rate": 3.1602373887240355e-05,
+      "loss": 0.3079,
+      "step": 162
+    },
+    {
+      "epoch": 1.3439999999999999,
+      "grad_norm": 4.03028678894043,
+      "learning_rate": 3.071216617210683e-05,
+      "loss": 0.3989,
+      "step": 168
+    },
+    {
+      "epoch": 1.392,
+      "grad_norm": 3.1952617168426514,
+      "learning_rate": 2.9821958456973298e-05,
+      "loss": 0.3071,
+      "step": 174
+    },
+    {
+      "epoch": 1.44,
+      "grad_norm": 0.6087659597396851,
+      "learning_rate": 2.8931750741839762e-05,
+      "loss": 0.2171,
+      "step": 180
+    },
+    {
+      "epoch": 1.488,
+      "grad_norm": 1.4459624290466309,
+      "learning_rate": 2.8041543026706234e-05,
+      "loss": 0.1617,
+      "step": 186
+    },
+    {
+      "epoch": 1.536,
+      "grad_norm": 2.4748902320861816,
+      "learning_rate": 2.7151335311572702e-05,
+      "loss": 0.2654,
+      "step": 192
+    },
+    {
+      "epoch": 1.584,
+      "grad_norm": 2.966203212738037,
+      "learning_rate": 2.6261127596439174e-05,
+      "loss": 0.2538,
+      "step": 198
+    },
+    {
+      "epoch": 1.6320000000000001,
+      "grad_norm": 3.4787888526916504,
+      "learning_rate": 2.537091988130564e-05,
+      "loss": 0.3404,
+      "step": 204
+    },
+    {
+      "epoch": 1.6800000000000002,
+      "grad_norm": 7.650554656982422,
+      "learning_rate": 2.4480712166172106e-05,
+      "loss": 0.3208,
+      "step": 210
+    },
+    {
+      "epoch": 1.728,
+      "grad_norm": 2.050452470779419,
+      "learning_rate": 2.3590504451038578e-05,
+      "loss": 0.1486,
+      "step": 216
+    },
+    {
+      "epoch": 1.776,
+      "grad_norm": 29.640296936035156,
+      "learning_rate": 2.2700296735905046e-05,
+      "loss": 0.3721,
+      "step": 222
+    },
+    {
+      "epoch": 1.8239999999999998,
+      "grad_norm": 4.195475101470947,
+      "learning_rate": 2.1810089020771514e-05,
+      "loss": 0.1306,
+      "step": 228
+    },
+    {
+      "epoch": 1.8719999999999999,
+      "grad_norm": 20.677532196044922,
+      "learning_rate": 2.0919881305637982e-05,
+      "loss": 0.1396,
+      "step": 234
+    },
+    {
+      "epoch": 1.92,
+      "grad_norm": 5.205203056335449,
+      "learning_rate": 2.0029673590504454e-05,
+      "loss": 0.413,
+      "step": 240
+    },
+    {
+      "epoch": 1.968,
+      "grad_norm": 0.5597999691963196,
+      "learning_rate": 1.9139465875370922e-05,
+      "loss": 0.5066,
+      "step": 246
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8955823293172691,
+      "eval_auc": 0.942822966507177,
+      "eval_f1": 0.6904761904761905,
+      "eval_loss": 0.2697308361530304,
+      "eval_precision": 0.6590909090909091,
+      "eval_recall": 0.725,
+      "eval_runtime": 38.8974,
+      "eval_samples_per_second": 6.401,
+      "eval_steps_per_second": 0.411,
+      "step": 250
+    }
+  ],
+  "logging_steps": 6,
+  "max_steps": 375,
+  "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": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 130766194513920.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-250/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d35163f5ae21b1fc4cceed41cb22c7be16142e62161995dccea3e63002edcec3
+size 5240

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "_num_labels": 2,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Lead",
+    "1": "Not Lead"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Lead": 0,
+    "Not Lead": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5086cec2e46600be616b402d3dea56d6075e8d3b6dd12af89ae940d571499ccd
+size 437958648

runs/Aug08_06-35-14_r-prabhjot410-autotrain-advanced-e36o8h81-614cb-8kw0d/events.out.tfevents.1723098915.r-prabhjot410-autotrain-advanced-e36o8h81-614cb-8kw0d.100.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e29399083b6cfda45b9f4ebb9657db33082ddfeb61966b9d5dea7dc2d0ecc407
-size 14685
+oid sha256:3b0b37cf26bb4e50c348c405a3b297038f31a422ce3252d020e29be2fbfcace8
+size 19989

runs/Aug08_06-35-14_r-prabhjot410-autotrain-advanced-e36o8h81-614cb-8kw0d/events.out.tfevents.1723100853.r-prabhjot410-autotrain-advanced-e36o8h81-614cb-8kw0d.100.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:923abcb4d52e1121bbbac201098a8f6b5c5705fe74e63c61510b04ba35a7df6e
+size 607

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 +1,55 @@
+{
+  "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_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d35163f5ae21b1fc4cceed41cb22c7be16142e62161995dccea3e63002edcec3
+size 5240

training_params.json

@@ -0,0 +1,30 @@
+{
+    "data_path": "autotrain-9d8m7-5e3go/autotrain-data",
+    "model": "google-bert/bert-base-uncased",
+    "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-9d8m7-5e3go",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "username": "Prabhjot410",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}