End of training

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,66 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-base-chinese-david-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. -->
+
+# bert-base-chinese-david-ner
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2217
+- Precision: 0.8020
+- Recall: 0.8379
+- F1: 0.8196
+- Accuracy: 0.9471
+
+## 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-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_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2487        | 1.4   | 500  | 0.2446          | 0.8138    | 0.8138 | 0.8138 | 0.9417   |
+| 0.0668        | 2.8   | 1000 | 0.2217          | 0.8020    | 0.8379 | 0.8196 | 0.9471   |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 1.10.1+cu113
+- Datasets 2.11.0
+- Tokenizers 0.13.3

.ipynb_checkpoints/tokenizer_config-checkpoint.json

@@ -0,0 +1,13 @@
+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "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]"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b744bcbe3a646bf785ecfd9a36ab7c4bcb9efc11ec3a8fdc603e954705cab64d
+oid sha256:66898f39dcdcd1c6f0f13de736fe2a1c655775827395fee70d1f1b56b07de824
 size 406794033

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15f345c3f615ddcc71b7037eb8a4230825e214082dea733e556f625211b3136e
+oid sha256:c8ef90f23e45ebc1c1c65869144db764835c72d78386f25b7bce2796d6d37c57
 size 3567