End of training

README.md

@@ -0,0 +1,81 @@
+---
+language:
+- en
+license: mit
+base_model: roberta-base
+tags:
+- pytorch
+- RobertaForTokenClassification
+- named-entity-recognition
+- roberta-base
+- generated_from_trainer
+metrics:
+- recall
+- precision
+- f1
+- accuracy
+model-index:
+- name: roberta-base-ontonotes
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# roberta-base-ontonotes
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the tner/ontonotes5 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0695
+- Recall: 0.9227
+- Precision: 0.9013
+- F1: 0.9118
+- Accuracy: 0.9820
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 8e-05
+- train_batch_size: 32
+- eval_batch_size: 160
+- seed: 75241309
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 6000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
+| 0.1305        | 0.31  | 600  | 0.1169          | 0.8550 | 0.8139    | 0.8340 | 0.9681   |
+| 0.118         | 0.63  | 1200 | 0.0925          | 0.8769 | 0.8592    | 0.8680 | 0.9750   |
+| 0.0937        | 0.94  | 1800 | 0.0874          | 0.8939 | 0.8609    | 0.8771 | 0.9764   |
+| 0.0698        | 1.25  | 2400 | 0.0821          | 0.9066 | 0.8775    | 0.8918 | 0.9784   |
+| 0.0663        | 1.56  | 3000 | 0.0827          | 0.9124 | 0.8764    | 0.8940 | 0.9789   |
+| 0.0624        | 1.88  | 3600 | 0.0732          | 0.9179 | 0.8868    | 0.9021 | 0.9804   |
+| 0.0364        | 2.19  | 4200 | 0.0750          | 0.9204 | 0.8968    | 0.9085 | 0.9816   |
+| 0.0429        | 2.5   | 4800 | 0.0699          | 0.9198 | 0.9031    | 0.9114 | 0.9818   |
+| 0.0323        | 2.82  | 5400 | 0.0697          | 0.9227 | 0.9008    | 0.9116 | 0.9819   |
+| 0.0334        | 3.13  | 6000 | 0.0695          | 0.9227 | 0.9013    | 0.9118 | 0.9820   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,105 @@
+{
+  "_name_or_path": "roberta-base",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "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": "O",
+    "1": "B-CARDINAL",
+    "2": "B-DATE",
+    "3": "I-DATE",
+    "4": "B-PERSON",
+    "5": "I-PERSON",
+    "6": "B-NORP",
+    "7": "B-GPE",
+    "8": "I-GPE",
+    "9": "B-LAW",
+    "10": "I-LAW",
+    "11": "B-ORG",
+    "12": "I-ORG",
+    "13": "B-PERCENT",
+    "14": "I-PERCENT",
+    "15": "B-ORDINAL",
+    "16": "B-MONEY",
+    "17": "I-MONEY",
+    "18": "B-WORK_OF_ART",
+    "19": "I-WORK_OF_ART",
+    "20": "B-FAC",
+    "21": "B-TIME",
+    "22": "I-CARDINAL",
+    "23": "B-LOC",
+    "24": "B-QUANTITY",
+    "25": "I-QUANTITY",
+    "26": "I-NORP",
+    "27": "I-LOC",
+    "28": "B-PRODUCT",
+    "29": "I-TIME",
+    "30": "B-EVENT",
+    "31": "I-EVENT",
+    "32": "I-FAC",
+    "33": "B-LANGUAGE",
+    "34": "I-PRODUCT",
+    "35": "I-ORDINAL",
+    "36": "I-LANGUAGE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-CARDINAL": 1,
+    "B-DATE": 2,
+    "B-EVENT": 30,
+    "B-FAC": 20,
+    "B-GPE": 7,
+    "B-LANGUAGE": 33,
+    "B-LAW": 9,
+    "B-LOC": 23,
+    "B-MONEY": 16,
+    "B-NORP": 6,
+    "B-ORDINAL": 15,
+    "B-ORG": 11,
+    "B-PERCENT": 13,
+    "B-PERSON": 4,
+    "B-PRODUCT": 28,
+    "B-QUANTITY": 24,
+    "B-TIME": 21,
+    "B-WORK_OF_ART": 18,
+    "I-CARDINAL": 22,
+    "I-DATE": 3,
+    "I-EVENT": 31,
+    "I-FAC": 32,
+    "I-GPE": 8,
+    "I-LANGUAGE": 36,
+    "I-LAW": 10,
+    "I-LOC": 27,
+    "I-MONEY": 17,
+    "I-NORP": 26,
+    "I-ORDINAL": 35,
+    "I-ORG": 12,
+    "I-PERCENT": 14,
+    "I-PERSON": 5,
+    "I-PRODUCT": 34,
+    "I-QUANTITY": 25,
+    "I-TIME": 29,
+    "I-WORK_OF_ART": 19,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc3d51a09efb4572a028ddf52a1966fa0f87a1e4b93d18c48e81117095e77fe0
+size 496357908

runs/Dec20_04-48-57_8f07b2673358/events.out.tfevents.1703047752.8f07b2673358.237.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93e31623e8ab5ac8f466256e96ea64a1b0c21e4dad53a19955d581dd3496d5ff
+size 20406

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_config.json

@@ -0,0 +1,57 @@
+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "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>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f987dc33457fce4f55e8d6a4c10621153de07726425889ff9502c861b84f582
+size 4728