End of training

README.md

@@ -1,10 +1,8 @@
 ---
 license: mit
-base_model: FacebookAI/xlm-roberta-base
+base_model: nguyenanh2803/absa-train-service
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: absa-train-service
   results: []
@@ -13,18 +11,9 @@ model-index:
 <!-- 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. -->
 
-[<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-1721529936.8383145/runs/otcaa3ob)
-[<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-1721530519.4932458/runs/6euwf05s)
-[<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-1721530820.3853943/runs/fdeie61y)
-[<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-1721531172.9125576/runs/jccg02qd)
-[<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-1721531509.736016/runs/lsogkzq6)
-[<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-1721532378.9611094/runs/kytk3wpn)
 # absa-train-service
 
-This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0968
-- Accuracy: 0.699
+This model is a fine-tuned version of [nguyenanh2803/absa-train-service](https://huggingface.co/nguyenanh2803/absa-train-service) on the None dataset.
 
 ## Model description
 
@@ -50,25 +39,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 12
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2845        | 1.0   | 375  | 2.2437          | 0.268    |
-| 2.0419        | 2.0   | 750  | 2.0310          | 0.491    |
-| 1.7634        | 3.0   | 1125 | 1.8072          | 0.439    |
-| 1.5688        | 4.0   | 1500 | 1.5605          | 0.634    |
-| 1.4397        | 5.0   | 1875 | 1.4126          | 0.621    |
-| 1.3734        | 6.0   | 2250 | 1.3115          | 0.662    |
-| 1.3016        | 7.0   | 2625 | 1.2222          | 0.692    |
-| 1.2229        | 8.0   | 3000 | 1.1733          | 0.679    |
-| 1.2435        | 9.0   | 3375 | 1.1515          | 0.676    |
-| 1.2069        | 10.0  | 3750 | 1.1158          | 0.697    |
-| 1.2243        | 11.0  | 4125 | 1.1092          | 0.696    |
-| 1.167         | 12.0  | 4500 | 1.0968          | 0.699    |
-
+- num_epochs: 8
 
 ### Framework versions
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "FacebookAI/xlm-roberta-base",
+  "_name_or_path": "nguyenanh2803/absa-train-service",
   "architectures": [
     "XLMRobertaForSequenceClassification"
   ],

special_tokens_map.json

@@ -1,7 +1,25 @@
 {
-  "bos_token": "<s>",
-  "cls_token": "<s>",
-  "eos_token": "</s>",
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "mask_token": {
     "content": "<mask>",
     "lstrip": true,
@@ -9,7 +27,25 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "unk_token": "<unk>"
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "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

@@ -46,9 +46,16 @@
   "cls_token": "<s>",
   "eos_token": "</s>",
   "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": "</s>",
+  "stride": 0,
   "tokenizer_class": "XLMRobertaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }