End of training

README.md

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+---
+base_model: jinmang2/kpfbert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: model_y3_research_1
+  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. -->
+
+# model_y3_research_1
+
+This model is a fine-tuned version of [jinmang2/kpfbert](https://huggingface.co/jinmang2/kpfbert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7692
+- Accuracy: 0.6082
+- F1: 0.5677
+- Precision: 0.5728
+- Recall: 0.5706
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.9518        | 1.0   | 97   | 1.0302          | 0.4167   | 0.2266 | 0.2376    | 0.3280 |
+| 0.9191        | 2.0   | 194  | 0.9158          | 0.5833   | 0.5823 | 0.6203    | 0.6297 |
+| 0.8298        | 3.0   | 291  | 0.8410          | 0.6042   | 0.5903 | 0.5987    | 0.5848 |
+| 0.7093        | 4.0   | 388  | 1.1104          | 0.5208   | 0.5176 | 0.5135    | 0.5312 |
+| 0.5994        | 5.0   | 485  | 1.3535          | 0.5521   | 0.5437 | 0.5691    | 0.5555 |
+| 0.709         | 6.0   | 582  | 1.8616          | 0.5104   | 0.4892 | 0.4975    | 0.5019 |
+| 0.2919        | 7.0   | 679  | 2.5441          | 0.5208   | 0.5174 | 0.5164    | 0.5340 |
+| 0.1296        | 8.0   | 776  | 2.9520          | 0.5104   | 0.4975 | 0.5103    | 0.4931 |
+| 0.0012        | 9.0   | 873  | 3.1406          | 0.5312   | 0.5182 | 0.5165    | 0.5209 |
+| 0.0393        | 10.0  | 970  | 3.1606          | 0.5208   | 0.5109 | 0.5084    | 0.5142 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:df72f307ae8acd0c7f7e421d57abf77e0defcd41a416e4bba11a4eaf8ad68302
+oid sha256:b05bdc234b27c138e72c1e58ce221819c2c518fa46c3a95a36b3fbfe25c25903
 size 456141828

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 +1,57 @@
+{
+  "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": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}