End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext-large](https://huggingface.co/hfl/chinese-roberta-wwm-ext-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3521
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.8712
+- Loss: 0.4056
+- Precision: 0.4202
+- Recall: 0.5916
+- F1: 0.4914
+- Accuracy: 0.9456
 
 ## Model description
 
@@ -49,13 +49,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 1.8677        | 1.0   | 503  | 1.3521          | 0.0       | 0.0    | 0.0 | 0.8712   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.3615        | 1.0   | 503  | 0.8081          | 0.1274    | 0.1568 | 0.1406 | 0.9028   |
+| 0.702         | 2.0   | 1006 | 0.5824          | 0.2954    | 0.4194 | 0.3467 | 0.9261   |
+| 0.5585        | 3.0   | 1509 | 0.5107          | 0.3305    | 0.4922 | 0.3955 | 0.9323   |
+| 0.4959        | 4.0   | 2012 | 0.4654          | 0.3716    | 0.5274 | 0.4360 | 0.9377   |
+| 0.4614        | 5.0   | 2515 | 0.4427          | 0.3880    | 0.5493 | 0.4548 | 0.9399   |
+| 0.4381        | 6.0   | 3018 | 0.4292          | 0.3996    | 0.5657 | 0.4684 | 0.9420   |
+| 0.4233        | 7.0   | 3521 | 0.4166          | 0.4111    | 0.5813 | 0.4816 | 0.9441   |
+| 0.4128        | 8.0   | 4024 | 0.4124          | 0.4144    | 0.5879 | 0.4862 | 0.9448   |
+| 0.4008        | 9.0   | 4527 | 0.4067          | 0.4194    | 0.5904 | 0.4904 | 0.9455   |
+| 0.3983        | 10.0  | 5030 | 0.4056          | 0.4202    | 0.5916 | 0.4914 | 0.9456   |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 3278396

special_tokens_map.json

@@ -1,7 +1,37 @@
 {
-  "cls_token": "[CLS]",
-  "mask_token": "[MASK]",
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "unk_token": "[UNK]"
+  "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

@@ -46,11 +46,15 @@
   "do_lower_case": true,
   "ignore_mismatched_sizes": true,
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
+  "stride": 0,
   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "[UNK]"
 }

training_args.bin

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 size 4600