End of training

README.md

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+---
+license: apache-2.0
+base_model: surrey-nlp/albert-large-v2-finetuned-abbDet
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: albert-large-v2-finetuned-abbDet-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. -->
+
+# albert-large-v2-finetuned-abbDet-finetuned-ner
+
+This model is a fine-tuned version of [surrey-nlp/albert-large-v2-finetuned-abbDet](https://huggingface.co/surrey-nlp/albert-large-v2-finetuned-abbDet) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1013
+- Precision: 0.9788
+- Recall: 0.9756
+- F1: 0.9772
+- Accuracy: 0.9754
+
+## 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: 2
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.19  | 100  | 0.1850          | 0.9561    | 0.9550 | 0.9555 | 0.9554   |
+| No log        | 0.37  | 200  | 0.1138          | 0.9716    | 0.9673 | 0.9695 | 0.9675   |
+| No log        | 0.56  | 300  | 0.1021          | 0.9753    | 0.9720 | 0.9737 | 0.9714   |
+| No log        | 0.75  | 400  | 0.1034          | 0.9758    | 0.9719 | 0.9739 | 0.9714   |
+| 0.2096        | 0.93  | 500  | 0.0964          | 0.9775    | 0.9740 | 0.9757 | 0.9737   |
+| 0.2096        | 1.12  | 600  | 0.0984          | 0.9781    | 0.9755 | 0.9768 | 0.9748   |
+| 0.2096        | 1.31  | 700  | 0.1016          | 0.9786    | 0.9758 | 0.9772 | 0.9753   |
+| 0.2096        | 1.49  | 800  | 0.1034          | 0.9781    | 0.9758 | 0.9769 | 0.9750   |
+| 0.2096        | 1.68  | 900  | 0.1020          | 0.9775    | 0.9755 | 0.9765 | 0.9746   |
+| 0.0669        | 1.87  | 1000 | 0.1006          | 0.9778    | 0.9749 | 0.9764 | 0.9744   |
+| 0.0669        | 2.05  | 1100 | 0.0973          | 0.9788    | 0.9760 | 0.9774 | 0.9755   |
+| 0.0669        | 2.24  | 1200 | 0.1013          | 0.9788    | 0.9756 | 0.9772 | 0.9754   |
+| 0.0669        | 2.43  | 1300 | 0.0995          | 0.9782    | 0.9758 | 0.9770 | 0.9750   |
+| 0.0669        | 2.61  | 1400 | 0.1079          | 0.9782    | 0.9759 | 0.9771 | 0.9752   |
+| 0.051         | 2.8   | 1500 | 0.1092          | 0.9781    | 0.9760 | 0.9771 | 0.9753   |
+
+
+### 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": "surrey-nlp/albert-large-v2-finetuned-abbDet",
+  "architectures": [
+    "AlbertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 16,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 24,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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+oid sha256:ae8c7992f42141781a6215d0eeddc78a897bacba8971a797713b9fa858a3651e
+size 66557136

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "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
+    },
+    "1": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": false,
+  "mask_token": "[MASK]",
+  "max_length": 512,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "tokenizer_class": "AlbertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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+size 4984