Upload folder using huggingface_hub

README.md

@@ -0,0 +1,26 @@
+
+---
+tags:
+- autotrain
+- token-classification
+base_model: google-bert/bert-base-uncased
+widget:
+- text: "I love AutoTrain"
+datasets:
+- bikashpatra/claims_token_classification
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Token Classification
+
+## Validation Metrics
+loss: 5.530978679656982
+
+precision: 0.0
+
+recall: 0.0
+
+f1: 0.0
+
+accuracy: 0.0026870229007633587

checkpoint-64/config.json

@@ -0,0 +1,105 @@
+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "_num_labels": 37,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "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": "B-Apparatus",
+    "1": "B-Chemical Compound",
+    "2": "I-Algorithm",
+    "3": "B-Product",
+    "4": "B-Composition of Matter",
+    "5": "B-Machine",
+    "6": "B-Algorithm",
+    "7": "B-Biotechnology",
+    "8": "B-Process",
+    "9": "I-Electrical Circuit",
+    "10": "I-Manufacture",
+    "11": "B-Electrical Circuit",
+    "12": "O",
+    "13": "I-Software",
+    "14": "I-Composition of Matter",
+    "15": "I-Pharmaceutical Formulation",
+    "16": "I-System",
+    "17": "I-Hardware",
+    "18": "I-Biotechnology",
+    "19": "B-Device",
+    "20": "B-Pharmaceutical Formulation",
+    "21": "I-Product",
+    "22": "I-Machine",
+    "23": "B-Hardware",
+    "24": "B-System",
+    "25": "B-Software",
+    "26": "I-Device",
+    "27": "B-Design",
+    "28": "I-Design",
+    "29": "I-Process",
+    "30": "I-Chemical Compound",
+    "31": "B-Method of Use",
+    "32": "I-Apparatus",
+    "33": "I-Method of Use",
+    "34": "B-Method",
+    "35": "B-Manufacture",
+    "36": "I-Method"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Algorithm": 6,
+    "B-Apparatus": 0,
+    "B-Biotechnology": 7,
+    "B-Chemical Compound": 1,
+    "B-Composition of Matter": 4,
+    "B-Design": 27,
+    "B-Device": 19,
+    "B-Electrical Circuit": 11,
+    "B-Hardware": 23,
+    "B-Machine": 5,
+    "B-Manufacture": 35,
+    "B-Method": 34,
+    "B-Method of Use": 31,
+    "B-Pharmaceutical Formulation": 20,
+    "B-Process": 8,
+    "B-Product": 3,
+    "B-Software": 25,
+    "B-System": 24,
+    "I-Algorithm": 2,
+    "I-Apparatus": 32,
+    "I-Biotechnology": 18,
+    "I-Chemical Compound": 30,
+    "I-Composition of Matter": 14,
+    "I-Design": 28,
+    "I-Device": 26,
+    "I-Electrical Circuit": 9,
+    "I-Hardware": 17,
+    "I-Machine": 22,
+    "I-Manufacture": 10,
+    "I-Method": 36,
+    "I-Method of Use": 33,
+    "I-Pharmaceutical Formulation": 15,
+    "I-Process": 29,
+    "I-Product": 21,
+    "I-Software": 13,
+    "I-System": 16,
+    "O": 12
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

checkpoint-64/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:529da2609ef1b81aad84e36c60f9f930350c2b4e8c00c313e854345480df6dcf
+size 435703748

checkpoint-64/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:061b98b34abdd41730ae03d2edb482822112d86fc8e83e37baa894157122f107
+size 871527226

checkpoint-64/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c21a74bdfd38d8b7666387a0f90a7e511f9b4a7d3dc76d66c8167e372f0106d2
+size 14244

checkpoint-64/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85a8006e7634cff31754bd13b32eede2d71c85280f7942cea6b29f79d9ae354c
+size 1064

checkpoint-64/trainer_state.json

@@ -0,0 +1,201 @@
+{
+  "best_metric": 5.530978679656982,
+  "best_model_checkpoint": "autotrain-r8zdq-nww6o/checkpoint-64",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 64,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.046875,
+      "grad_norm": 15.872576713562012,
+      "learning_rate": 2.5e-06,
+      "loss": 4.0459,
+      "step": 3
+    },
+    {
+      "epoch": 0.09375,
+      "grad_norm": 14.468564987182617,
+      "learning_rate": 1e-05,
+      "loss": 3.8906,
+      "step": 6
+    },
+    {
+      "epoch": 0.140625,
+      "grad_norm": 12.806556701660156,
+      "learning_rate": 1.75e-05,
+      "loss": 3.1036,
+      "step": 9
+    },
+    {
+      "epoch": 0.1875,
+      "grad_norm": 7.326994895935059,
+      "learning_rate": 2.5e-05,
+      "loss": 2.1466,
+      "step": 12
+    },
+    {
+      "epoch": 0.234375,
+      "grad_norm": 2.5583295822143555,
+      "learning_rate": 3.2500000000000004e-05,
+      "loss": 1.7102,
+      "step": 15
+    },
+    {
+      "epoch": 0.28125,
+      "grad_norm": 3.5812530517578125,
+      "learning_rate": 4e-05,
+      "loss": 1.5867,
+      "step": 18
+    },
+    {
+      "epoch": 0.328125,
+      "grad_norm": 1.4613455533981323,
+      "learning_rate": 4.75e-05,
+      "loss": 1.3785,
+      "step": 21
+    },
+    {
+      "epoch": 0.375,
+      "grad_norm": 3.1722567081451416,
+      "learning_rate": 4.941860465116279e-05,
+      "loss": 1.4526,
+      "step": 24
+    },
+    {
+      "epoch": 0.421875,
+      "grad_norm": 3.3172366619110107,
+      "learning_rate": 4.854651162790698e-05,
+      "loss": 1.3307,
+      "step": 27
+    },
+    {
+      "epoch": 0.46875,
+      "grad_norm": 2.2563154697418213,
+      "learning_rate": 4.7674418604651164e-05,
+      "loss": 1.4428,
+      "step": 30
+    },
+    {
+      "epoch": 0.515625,
+      "grad_norm": 2.1187117099761963,
+      "learning_rate": 4.680232558139535e-05,
+      "loss": 1.4933,
+      "step": 33
+    },
+    {
+      "epoch": 0.5625,
+      "grad_norm": 3.107919931411743,
+      "learning_rate": 4.593023255813954e-05,
+      "loss": 1.3909,
+      "step": 36
+    },
+    {
+      "epoch": 0.609375,
+      "grad_norm": 2.8481452465057373,
+      "learning_rate": 4.505813953488372e-05,
+      "loss": 1.4789,
+      "step": 39
+    },
+    {
+      "epoch": 0.65625,
+      "grad_norm": 1.2975138425827026,
+      "learning_rate": 4.418604651162791e-05,
+      "loss": 1.3402,
+      "step": 42
+    },
+    {
+      "epoch": 0.703125,
+      "grad_norm": 2.2250919342041016,
+      "learning_rate": 4.3313953488372096e-05,
+      "loss": 1.5143,
+      "step": 45
+    },
+    {
+      "epoch": 0.75,
+      "grad_norm": 1.7821475267410278,
+      "learning_rate": 4.2441860465116276e-05,
+      "loss": 1.2815,
+      "step": 48
+    },
+    {
+      "epoch": 0.796875,
+      "grad_norm": 1.3603293895721436,
+      "learning_rate": 4.156976744186047e-05,
+      "loss": 1.2912,
+      "step": 51
+    },
+    {
+      "epoch": 0.84375,
+      "grad_norm": 1.1273295879364014,
+      "learning_rate": 4.0697674418604655e-05,
+      "loss": 1.3891,
+      "step": 54
+    },
+    {
+      "epoch": 0.890625,
+      "grad_norm": 1.2710983753204346,
+      "learning_rate": 3.9825581395348835e-05,
+      "loss": 1.4103,
+      "step": 57
+    },
+    {
+      "epoch": 0.9375,
+      "grad_norm": 1.6584129333496094,
+      "learning_rate": 3.895348837209303e-05,
+      "loss": 1.4676,
+      "step": 60
+    },
+    {
+      "epoch": 0.984375,
+      "grad_norm": 1.8036679029464722,
+      "learning_rate": 3.8081395348837215e-05,
+      "loss": 1.3896,
+      "step": 63
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.0026870229007633587,
+      "eval_f1": 0.0,
+      "eval_loss": 5.530978679656982,
+      "eval_precision": 0.0,
+      "eval_recall": 0.0,
+      "eval_runtime": 0.3581,
+      "eval_samples_per_second": 388.142,
+      "eval_steps_per_second": 25.132,
+      "step": 64
+    }
+  ],
+  "logging_steps": 3,
+  "max_steps": 192,
+  "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": 33260533691136.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-64/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef8a5084cd13493a32e16d73cc0a3e059a4dfed355ffd86c4aaef5c6776a156d
+size 5240

config.json

@@ -0,0 +1,105 @@
+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "_num_labels": 37,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "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": "B-Apparatus",
+    "1": "B-Chemical Compound",
+    "2": "I-Algorithm",
+    "3": "B-Product",
+    "4": "B-Composition of Matter",
+    "5": "B-Machine",
+    "6": "B-Algorithm",
+    "7": "B-Biotechnology",
+    "8": "B-Process",
+    "9": "I-Electrical Circuit",
+    "10": "I-Manufacture",
+    "11": "B-Electrical Circuit",
+    "12": "O",
+    "13": "I-Software",
+    "14": "I-Composition of Matter",
+    "15": "I-Pharmaceutical Formulation",
+    "16": "I-System",
+    "17": "I-Hardware",
+    "18": "I-Biotechnology",
+    "19": "B-Device",
+    "20": "B-Pharmaceutical Formulation",
+    "21": "I-Product",
+    "22": "I-Machine",
+    "23": "B-Hardware",
+    "24": "B-System",
+    "25": "B-Software",
+    "26": "I-Device",
+    "27": "B-Design",
+    "28": "I-Design",
+    "29": "I-Process",
+    "30": "I-Chemical Compound",
+    "31": "B-Method of Use",
+    "32": "I-Apparatus",
+    "33": "I-Method of Use",
+    "34": "B-Method",
+    "35": "B-Manufacture",
+    "36": "I-Method"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-Algorithm": 6,
+    "B-Apparatus": 0,
+    "B-Biotechnology": 7,
+    "B-Chemical Compound": 1,
+    "B-Composition of Matter": 4,
+    "B-Design": 27,
+    "B-Device": 19,
+    "B-Electrical Circuit": 11,
+    "B-Hardware": 23,
+    "B-Machine": 5,
+    "B-Manufacture": 35,
+    "B-Method": 34,
+    "B-Method of Use": 31,
+    "B-Pharmaceutical Formulation": 20,
+    "B-Process": 8,
+    "B-Product": 3,
+    "B-Software": 25,
+    "B-System": 24,
+    "I-Algorithm": 2,
+    "I-Apparatus": 32,
+    "I-Biotechnology": 18,
+    "I-Chemical Compound": 30,
+    "I-Composition of Matter": 14,
+    "I-Design": 28,
+    "I-Device": 26,
+    "I-Electrical Circuit": 9,
+    "I-Hardware": 17,
+    "I-Machine": 22,
+    "I-Manufacture": 10,
+    "I-Method": 36,
+    "I-Method of Use": 33,
+    "I-Pharmaceutical Formulation": 15,
+    "I-Process": 29,
+    "I-Product": 21,
+    "I-Software": 13,
+    "I-System": 16,
+    "O": 12
+  },
+  "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",
+  "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 sha256:529da2609ef1b81aad84e36c60f9f930350c2b4e8c00c313e854345480df6dcf
+size 435703748

runs/Jul25_05-11-33_r-bikashpatra-argilla-ds-train-iqtz0wo5-25785-ytq5e/events.out.tfevents.1721884294.r-bikashpatra-argilla-ds-train-iqtz0wo5-25785-ytq5e.75.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8a8b304e67f66bdfeb0d31b4eeb42a291c0da2650e7082ef4f6589c32aba1f6
-size 6897
+oid sha256:7328bf4912fd18ae51dae8ced5ac6203e3c32a8bfd5c483e66aa5fae130aff61
+size 21994

runs/Jul25_05-11-33_r-bikashpatra-argilla-ds-train-iqtz0wo5-25785-ytq5e/events.out.tfevents.1721884321.r-bikashpatra-argilla-ds-train-iqtz0wo5-25785-ytq5e.75.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cda4e03a9ba0ca0e9caad42cab05e03e3acd5bbc0eef328738357fe63826b4b5
+size 560

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:ef8a5084cd13493a32e16d73cc0a3e059a4dfed355ffd86c4aaef5c6776a156d
+size 5240

training_params.json

@@ -0,0 +1,30 @@
+{
+    "data_path": "bikashpatra/claims_token_classification",
+    "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",
+    "tokens_column": "tokens",
+    "tags_column": "ner_tags",
+    "logging_steps": -1,
+    "project_name": "autotrain-r8zdq-nww6o",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp16",
+    "save_total_limit": 1,
+    "push_to_hub": true,
+    "eval_strategy": "epoch",
+    "username": "bikashpatra",
+    "log": "tensorboard",
+    "early_stopping_patience": 5,
+    "early_stopping_threshold": 0.01
+}