End of training

README.md

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+---
+license: mit
+base_model: ml6team/keyphrase-extraction-distilbert-inspec
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: keyphrase-extraction-distilbert-inspec-finetuned-ner
+  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. -->
+
+# keyphrase-extraction-distilbert-inspec-finetuned-ner
+
+This model is a fine-tuned version of [ml6team/keyphrase-extraction-distilbert-inspec](https://huggingface.co/ml6team/keyphrase-extraction-distilbert-inspec) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9452
+- Precision: 0.7673
+- Recall: 0.8288
+- F1: 0.7969
+- Accuracy: 0.7700
+
+## 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: 2e-06
+- train_batch_size: 64
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.29  | 5    | 1.4270          | 0.1544    | 0.1644 | 0.1593 | 0.1605   |
+| No log        | 0.59  | 10   | 1.3944          | 0.1593    | 0.1700 | 0.1645 | 0.1652   |
+| No log        | 0.88  | 15   | 1.3639          | 0.1637    | 0.1750 | 0.1692 | 0.1703   |
+| No log        | 1.18  | 20   | 1.3352          | 0.1735    | 0.1859 | 0.1795 | 0.1794   |
+| No log        | 1.47  | 25   | 1.3078          | 0.1892    | 0.2030 | 0.1959 | 0.1953   |
+| No log        | 1.76  | 30   | 1.2818          | 0.2112    | 0.2270 | 0.2188 | 0.2176   |
+| No log        | 2.06  | 35   | 1.2571          | 0.3059    | 0.3294 | 0.3172 | 0.3118   |
+| No log        | 2.35  | 40   | 1.2337          | 0.5455    | 0.5880 | 0.5660 | 0.5508   |
+| No log        | 2.65  | 45   | 1.2114          | 0.6594    | 0.7109 | 0.6842 | 0.6647   |
+| No log        | 2.94  | 50   | 1.1902          | 0.6924    | 0.7468 | 0.7186 | 0.6969   |
+| No log        | 3.24  | 55   | 1.1700          | 0.7094    | 0.7655 | 0.7364 | 0.7143   |
+| No log        | 3.53  | 60   | 1.1508          | 0.7192    | 0.7760 | 0.7465 | 0.7236   |
+| No log        | 3.82  | 65   | 1.1326          | 0.7248    | 0.7823 | 0.7524 | 0.7293   |
+| No log        | 4.12  | 70   | 1.1153          | 0.7290    | 0.7872 | 0.7570 | 0.7337   |
+| No log        | 4.41  | 75   | 1.0990          | 0.7332    | 0.7920 | 0.7615 | 0.7375   |
+| No log        | 4.71  | 80   | 1.0834          | 0.7366    | 0.7956 | 0.7650 | 0.7407   |
+| No log        | 5.0   | 85   | 1.0687          | 0.7393    | 0.7986 | 0.7678 | 0.7433   |
+| No log        | 5.29  | 90   | 1.0549          | 0.7429    | 0.8024 | 0.7715 | 0.7467   |
+| No log        | 5.59  | 95   | 1.0418          | 0.7445    | 0.8042 | 0.7732 | 0.7485   |
+| No log        | 5.88  | 100  | 1.0295          | 0.7473    | 0.8072 | 0.7761 | 0.7510   |
+| No log        | 6.18  | 105  | 1.0179          | 0.7493    | 0.8093 | 0.7781 | 0.7529   |
+| No log        | 6.47  | 110  | 1.0072          | 0.7522    | 0.8125 | 0.7812 | 0.7558   |
+| No log        | 6.76  | 115  | 0.9973          | 0.7548    | 0.8153 | 0.7839 | 0.7581   |
+| No log        | 7.06  | 120  | 0.9882          | 0.7569    | 0.8176 | 0.7861 | 0.7603   |
+| No log        | 7.35  | 125  | 0.9799          | 0.7587    | 0.8196 | 0.7880 | 0.7619   |
+| No log        | 7.65  | 130  | 0.9725          | 0.7607    | 0.8217 | 0.7900 | 0.7638   |
+| No log        | 7.94  | 135  | 0.9658          | 0.7626    | 0.8237 | 0.7919 | 0.7653   |
+| No log        | 8.24  | 140  | 0.9600          | 0.7644    | 0.8257 | 0.7938 | 0.7671   |
+| No log        | 8.53  | 145  | 0.9550          | 0.7650    | 0.8263 | 0.7945 | 0.7678   |
+| No log        | 8.82  | 150  | 0.9509          | 0.7659    | 0.8273 | 0.7954 | 0.7687   |
+| No log        | 9.12  | 155  | 0.9476          | 0.7667    | 0.8281 | 0.7962 | 0.7694   |
+| No log        | 9.41  | 160  | 0.9452          | 0.7673    | 0.8288 | 0.7969 | 0.7700   |
+| No log        | 9.71  | 165  | 0.9436          | 0.7674    | 0.8290 | 0.7970 | 0.7702   |
+| No log        | 10.0  | 170  | 0.9429          | 0.7674    | 0.8290 | 0.7970 | 0.7702   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "ml6team/keyphrase-extraction-distilbert-inspec",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "vocab_size": 30522
+}

model.safetensors

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+size 265476168

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "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]",
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4984