End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,114 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: XLMRoBERTa_Lexical_Dataset45K
+  results: []
+---
+
+<!-- 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. -->
+
+# XLMRoBERTa_Lexical_Dataset45K
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4964
+- Accuracy: 0.8870
+- F1: 0.8870
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|
+| No log        | 0.2841  | 200   | 0.4614          | 0.7988   | 0.7972 |
+| No log        | 0.5682  | 400   | 0.3716          | 0.8339   | 0.8335 |
+| No log        | 0.8523  | 600   | 0.3603          | 0.8456   | 0.8474 |
+| 0.455         | 1.1364  | 800   | 0.3298          | 0.8618   | 0.8612 |
+| 0.455         | 1.4205  | 1000  | 0.3466          | 0.8621   | 0.8598 |
+| 0.455         | 1.7045  | 1200  | 0.3051          | 0.8697   | 0.8712 |
+| 0.455         | 1.9886  | 1400  | 0.2924          | 0.8773   | 0.8774 |
+| 0.3111        | 2.2727  | 1600  | 0.2764          | 0.8847   | 0.8853 |
+| 0.3111        | 2.5568  | 1800  | 0.2648          | 0.8865   | 0.8866 |
+| 0.3111        | 2.8409  | 2000  | 0.2571          | 0.8890   | 0.8894 |
+| 0.2536        | 3.125   | 2200  | 0.2745          | 0.8901   | 0.8898 |
+| 0.2536        | 3.4091  | 2400  | 0.2801          | 0.8729   | 0.8747 |
+| 0.2536        | 3.6932  | 2600  | 0.2863          | 0.8892   | 0.8885 |
+| 0.2536        | 3.9773  | 2800  | 0.2587          | 0.8909   | 0.8902 |
+| 0.2249        | 4.2614  | 3000  | 0.2728          | 0.8905   | 0.8903 |
+| 0.2249        | 4.5455  | 3200  | 0.2782          | 0.8873   | 0.8882 |
+| 0.2249        | 4.8295  | 3400  | 0.2696          | 0.8900   | 0.8908 |
+| 0.1984        | 5.1136  | 3600  | 0.3226          | 0.8896   | 0.8890 |
+| 0.1984        | 5.3977  | 3800  | 0.2821          | 0.8921   | 0.8923 |
+| 0.1984        | 5.6818  | 4000  | 0.3206          | 0.8818   | 0.8830 |
+| 0.1984        | 5.9659  | 4200  | 0.2800          | 0.8938   | 0.8936 |
+| 0.178         | 6.25    | 4400  | 0.2892          | 0.8938   | 0.8938 |
+| 0.178         | 6.5341  | 4600  | 0.3262          | 0.8875   | 0.8880 |
+| 0.178         | 6.8182  | 4800  | 0.3199          | 0.8876   | 0.8874 |
+| 0.1556        | 7.1023  | 5000  | 0.3237          | 0.8889   | 0.8892 |
+| 0.1556        | 7.3864  | 5200  | 0.3540          | 0.8883   | 0.8880 |
+| 0.1556        | 7.6705  | 5400  | 0.3361          | 0.8925   | 0.8925 |
+| 0.1556        | 7.9545  | 5600  | 0.3369          | 0.8868   | 0.8877 |
+| 0.1344        | 8.2386  | 5800  | 0.3449          | 0.8889   | 0.8887 |
+| 0.1344        | 8.5227  | 6000  | 0.3813          | 0.8888   | 0.8884 |
+| 0.1344        | 8.8068  | 6200  | 0.3463          | 0.8908   | 0.8910 |
+| 0.1203        | 9.0909  | 6400  | 0.3781          | 0.8886   | 0.8893 |
+| 0.1203        | 9.375   | 6600  | 0.3825          | 0.8897   | 0.8897 |
+| 0.1203        | 9.6591  | 6800  | 0.3842          | 0.8890   | 0.8895 |
+| 0.1203        | 9.9432  | 7000  | 0.3894          | 0.8885   | 0.8893 |
+| 0.1069        | 10.2273 | 7200  | 0.4063          | 0.8903   | 0.8900 |
+| 0.1069        | 10.5114 | 7400  | 0.3976          | 0.8908   | 0.8912 |
+| 0.1069        | 10.7955 | 7600  | 0.4013          | 0.8892   | 0.8893 |
+| 0.0942        | 11.0795 | 7800  | 0.4663          | 0.8888   | 0.8886 |
+| 0.0942        | 11.3636 | 8000  | 0.4394          | 0.8867   | 0.8871 |
+| 0.0942        | 11.6477 | 8200  | 0.4770          | 0.8852   | 0.8859 |
+| 0.0942        | 11.9318 | 8400  | 0.4278          | 0.8881   | 0.8881 |
+| 0.0827        | 12.2159 | 8600  | 0.4431          | 0.8874   | 0.8877 |
+| 0.0827        | 12.5    | 8800  | 0.4553          | 0.8851   | 0.8856 |
+| 0.0827        | 12.7841 | 9000  | 0.4546          | 0.8859   | 0.8861 |
+| 0.0772        | 13.0682 | 9200  | 0.4571          | 0.8883   | 0.8881 |
+| 0.0772        | 13.3523 | 9400  | 0.4655          | 0.8872   | 0.8870 |
+| 0.0772        | 13.6364 | 9600  | 0.4700          | 0.8872   | 0.8876 |
+| 0.0772        | 13.9205 | 9800  | 0.4817          | 0.8863   | 0.8867 |
+| 0.0692        | 14.2045 | 10000 | 0.4838          | 0.8864   | 0.8868 |
+| 0.0692        | 14.4886 | 10200 | 0.4825          | 0.8868   | 0.8871 |
+| 0.0692        | 14.7727 | 10400 | 0.4964          | 0.8870   | 0.8870 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,37 @@
+{
+  "_name_or_path": "FacebookAI/xlm-roberta-base",
+  "architectures": [
+    "XLMLexical"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B\u00ecnh th\u01b0\u1eddng",
+    "1": "T\u00ednh nhi\u1ec7m th\u1ea5p"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B\u00ecnh th\u01b0\u1eddng": 0,
+    "T\u00ednh nhi\u1ec7m th\u1ea5p": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_classes": 2,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer.json

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+size 17082986

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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