Training completed!

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2800
-- Accuracy: 0.93
-- F1: 0.9325
+- Loss: 0.3171
+- Accuracy: 0.95
+- F1: 0.9359
 
 ## Model description
 
@@ -44,27 +44,25 @@ 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: 10
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.9516        | 1.0   | 50   | 0.4520          | 0.915    | 0.9120 |
-| 0.351         | 2.0   | 100  | 0.2371          | 0.92     | 0.9229 |
-| 0.1989        | 3.0   | 150  | 0.2468          | 0.935    | 0.9370 |
-| 0.1569        | 4.0   | 200  | 0.2072          | 0.93     | 0.9333 |
-| 0.1161        | 5.0   | 250  | 0.2266          | 0.935    | 0.9370 |
-| 0.0963        | 6.0   | 300  | 0.2373          | 0.945    | 0.9455 |
-| 0.089         | 7.0   | 350  | 0.2682          | 0.93     | 0.9331 |
-| 0.0852        | 8.0   | 400  | 0.2738          | 0.925    | 0.9257 |
-| 0.069         | 9.0   | 450  | 0.2825          | 0.93     | 0.9325 |
-| 0.0701        | 10.0  | 500  | 0.2800          | 0.93     | 0.9325 |
+| 1.5232        | 1.0   | 25   | 1.1976          | 0.79     | 0.7209 |
+| 1.0392        | 2.0   | 50   | 0.7550          | 0.91     | 0.8830 |
+| 0.6986        | 3.0   | 75   | 0.5119          | 0.92     | 0.8928 |
+| 0.5144        | 4.0   | 100  | 0.4181          | 0.92     | 0.8928 |
+| 0.4265        | 5.0   | 125  | 0.3602          | 0.95     | 0.9359 |
+| 0.3618        | 6.0   | 150  | 0.3394          | 0.95     | 0.9359 |
+| 0.3196        | 7.0   | 175  | 0.3218          | 0.95     | 0.9359 |
+| 0.2982        | 8.0   | 200  | 0.3171          | 0.95     | 0.9359 |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
+- Transformers 4.33.3
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.13.3

config.json

@@ -14,7 +14,9 @@
     "0": "LABEL_0",
     "1": "LABEL_1",
     "2": "LABEL_2",
-    "3": "LABEL_3"
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -22,7 +24,9 @@
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2,
-    "LABEL_3": 3
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 258,
@@ -34,7 +38,7 @@
   "problem_type": "single_label_classification",
   "tokenizer_class": "PhobertTokenizer",
   "torch_dtype": "float32",
-  "transformers_version": "4.33.2",
+  "transformers_version": "4.33.3",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 64001

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f630cc2a6054bcb87712e86c17d89b7616cb27849697c4288ef6f48b81fb0c7c
-size 540074353
+oid sha256:bf04b61da97934148142f76be9fc1dfc13a8f705c4f1fefca4614ef4ed0c8594
+size 540080497

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0682ee5b72cb94f073d14899ff6cf7a990ba6af8ea3fb607a0a87422c3446fe2
+oid sha256:92cd65c70df121f6e89d516f162c48afdb626e0109cbfd5d3595e5fa6bd261b6
 size 4027