End of training

README.md

@@ -1,13 +1,8 @@
 ---
 license: apache-2.0
-base_model: google-bert/bert-base-multilingual-cased
+base_model: nguyenanh2803/absa-train-service-gg-bert-multilingual
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- precision
-- recall
-- f1
 model-index:
 - name: absa-train-service-gg-bert-multilingual
   results: []
@@ -19,13 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/cunho2803032003/absa-1721788682.8055813/runs/6du7w59h)
 # absa-train-service-gg-bert-multilingual
 
-This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.9467
-- Accuracy: 0.4667
-- Precision: 0.4925
-- Recall: 0.4772
-- F1: 0.4218
+This model is a fine-tuned version of [nguyenanh2803/absa-train-service-gg-bert-multilingual](https://huggingface.co/nguyenanh2803/absa-train-service-gg-bert-multilingual) on the None dataset.
 
 ## Model description
 
@@ -53,20 +42,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 8
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 2.2865        | 1.0   | 438  | 2.2450          | 0.2067   | 0.1363    | 0.2097 | 0.1125 |
-| 2.2026        | 2.0   | 876  | 2.1433          | 0.3013   | 0.3069    | 0.3118 | 0.2477 |
-| 2.1325        | 3.0   | 1314 | 2.0787          | 0.3307   | 0.4191    | 0.3267 | 0.2936 |
-| 2.0705        | 4.0   | 1752 | 2.0219          | 0.4107   | 0.4532    | 0.4202 | 0.3533 |
-| 2.0617        | 5.0   | 2190 | 1.9910          | 0.4293   | 0.3812    | 0.4402 | 0.3826 |
-| 2.0226        | 6.0   | 2628 | 1.9646          | 0.4333   | 0.4792    | 0.4421 | 0.3745 |
-| 1.9997        | 7.0   | 3066 | 1.9522          | 0.4733   | 0.5002    | 0.4838 | 0.4294 |
-| 1.9882        | 8.0   | 3504 | 1.9467          | 0.4667   | 0.4925    | 0.4772 | 0.4218 |
-
-
 ### Framework versions
 
 - Transformers 4.43.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google-bert/bert-base-multilingual-cased",
+  "_name_or_path": "nguyenanh2803/absa-train-service-gg-bert-multilingual",
   "architectures": [
     "BertForSequenceClassification"
   ],

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

@@ -45,11 +45,18 @@
   "cls_token": "[CLS]",
   "do_lower_case": false,
   "mask_token": "[MASK]",
+  "max_length": 512,
   "model_max_length": 512,
+  "pad_to_multiple_of": null,
   "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "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]"
 }