End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: leetcode-solution-method-classifier-bert-base-uncased
+  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. -->
+
+# leetcode-solution-method-classifier-bert-base-uncased
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5560
+- Accuracy: 0.4106
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 464  | 2.2015          | 0.3333   |
+| 2.2822        | 2.0   | 928  | 2.0300          | 0.3478   |
+| 2.1285        | 3.0   | 1392 | 1.9383          | 0.3623   |
+| 1.8958        | 4.0   | 1856 | 1.8928          | 0.4010   |
+| 1.5333        | 5.0   | 2320 | 2.1470          | 0.4010   |
+| 1.1718        | 6.0   | 2784 | 2.2002          | 0.4396   |
+| 0.7684        | 7.0   | 3248 | 2.7009          | 0.4300   |
+| 0.48          | 8.0   | 3712 | 3.3770          | 0.3720   |
+| 0.2755        | 9.0   | 4176 | 3.5560          | 0.4106   |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-uncased",
+  "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": "Arrays & Hashing",
+    "1": "Two Pointers",
+    "2": "Sliding Window",
+    "3": "Stack",
+    "4": "Binary Search",
+    "5": "Linked List",
+    "6": "Trees",
+    "7": "Heap (Priority Queue)",
+    "8": "Backtracking",
+    "9": "Tries",
+    "10": "Graphs",
+    "11": "Dynamic Programming",
+    "12": "Greedy",
+    "13": "Intervals",
+    "14": "Math",
+    "15": "Bit Manipulation"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Arrays & Hashing": 0,
+    "Backtracking": 8,
+    "Binary Search": 4,
+    "Bit Manipulation": 15,
+    "Dynamic Programming": 11,
+    "Graphs": 10,
+    "Greedy": 12,
+    "Heap (Priority Queue)": 7,
+    "Intervals": 13,
+    "Linked List": 5,
+    "Math": 14,
+    "Sliding Window": 2,
+    "Stack": 3,
+    "Trees": 6,
+    "Tries": 9,
+    "Two Pointers": 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": "4.44.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:15c7e998a83a7f386605e7364eb807a059614906a50b4c331ef6a8a44eeca0f9
+size 438001712

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "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

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+size 5240