End of training

README.md

@@ -6,9 +6,6 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-- f1
-- precision
-- recall
 - matthews_correlation
 model-index:
 - name: finbert-tone-chinese-finetuned-sentiment
@@ -22,12 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [yiyanghkust/finbert-tone-chinese](https://huggingface.co/yiyanghkust/finbert-tone-chinese) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2491
-- Accuracy: 0.9392
-- F1: 0.9372
-- Precision: 0.9561
-- Recall: 0.9191
-- Matthews Correlation: 0.8789
+- Loss: 0.9228
+- Accuracy: 0.6284
+- Matthews Correlation: 0.3977
 
 ## Model description
 
@@ -56,13 +50,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Matthews Correlation |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:--------------------:|
-| No log        | 1.0   | 286  | 0.2230          | 0.9225   | 0.9198 | 0.9417    | 0.8988 | 0.8458               |
-| 0.2209        | 2.0   | 572  | 0.2119          | 0.9333   | 0.9314 | 0.9476    | 0.9157 | 0.8671               |
-| 0.2209        | 3.0   | 858  | 0.2491          | 0.9392   | 0.9372 | 0.9561    | 0.9191 | 0.8789               |
-| 0.0812        | 4.0   | 1144 | 0.2961          | 0.9358   | 0.9345 | 0.9433    | 0.9258 | 0.8718               |
-| 0.0812        | 5.0   | 1430 | 0.3249          | 0.9367   | 0.9352 | 0.9465    | 0.9241 | 0.8735               |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------:|
+| 1.0027        | 1.0   | 1396 | 0.9558          | 0.6170   | 0.3300               |
+| 0.8531        | 2.0   | 2792 | 0.9321          | 0.6133   | 0.3579               |
+| 0.6974        | 3.0   | 4188 | 0.9228          | 0.6284   | 0.3977               |
+| 0.567         | 4.0   | 5584 | 0.9618          | 0.6248   | 0.3968               |
+| 0.503         | 5.0   | 6980 | 1.0401          | 0.6147   | 0.3890               |
 
 
 ### Framework versions

config.json

@@ -10,14 +10,18 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "\u662f\u6076\u8bc4\u522b\u770b",
-    "1": "\u4f1a\u8bf4\u8bdd\u591a\u8bf4\u70b9"
+    "0": "\u559c\u60a6",
+    "1": "\u7070\u5e38\u751f\u6c14\uff01",
+    "2": "\u611f\u5230\u5f88\u8ba8\u538c",
+    "3": "\u60c5\u7eea\u4f4e\u843d"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "\u4f1a\u8bf4\u8bdd\u591a\u8bf4\u70b9": 1,
-    "\u662f\u6076\u8bc4\u522b\u770b": 0
+    "\u559c\u60a6": 0,
+    "\u60c5\u7eea\u4f4e\u843d": 3,
+    "\u611f\u5230\u5f88\u8ba8\u538c": 2,
+    "\u7070\u5e38\u751f\u6c14\uff01": 1
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

@@ -1,3 +1,3 @@
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-size 409100240
+oid sha256:538616162712966a7ec5b8a4544a6928f4325eb264717805fa94ae7e7b56125a
+size 409106392

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 128,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:775f99bf15422301073b76d35bc0e0579c095eb893535b3051289950e6f4fe8b
 size 5368