End of training

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: PhoBert_Lexical_Datasnet51KBoDuoiWithNewLexical
+  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. -->
+
+[<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/phunganhsang123/huggingface/runs/ueje0ytn)
+# PhoBert_Lexical_Datasnet51KBoDuoiWithNewLexical
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9059
+- Accuracy: 0.848
+- F1: 0.8469
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|
+| No log        | 0.2506  | 200   | 0.6421          | 0.727    | 0.7274 |
+| No log        | 0.5013  | 400   | 0.5851          | 0.745    | 0.7340 |
+| No log        | 0.7519  | 600   | 0.5522          | 0.758    | 0.7561 |
+| 0.3486        | 1.0025  | 800   | 0.5461          | 0.779    | 0.7693 |
+| 0.3486        | 1.2531  | 1000  | 0.5009          | 0.786    | 0.7796 |
+| 0.3486        | 1.5038  | 1200  | 0.5538          | 0.77     | 0.7681 |
+| 0.3486        | 1.7544  | 1400  | 0.5067          | 0.777    | 0.7676 |
+| 0.2582        | 2.0050  | 1600  | 0.5031          | 0.792    | 0.7842 |
+| 0.2582        | 2.2556  | 1800  | 0.5232          | 0.786    | 0.7811 |
+| 0.2582        | 2.5063  | 2000  | 0.5484          | 0.785    | 0.7827 |
+| 0.2582        | 2.7569  | 2200  | 0.5155          | 0.798    | 0.7950 |
+| 0.2134        | 3.0075  | 2400  | 0.5280          | 0.787    | 0.7847 |
+| 0.2134        | 3.2581  | 2600  | 0.5263          | 0.793    | 0.7860 |
+| 0.2134        | 3.5088  | 2800  | 0.5273          | 0.794    | 0.7930 |
+| 0.2134        | 3.7594  | 3000  | 0.5354          | 0.792    | 0.7871 |
+| 0.1799        | 4.0100  | 3200  | 0.5071          | 0.804    | 0.7982 |
+| 0.1799        | 4.2607  | 3400  | 0.5655          | 0.802    | 0.7975 |
+| 0.1799        | 4.5113  | 3600  | 0.5497          | 0.809    | 0.8034 |
+| 0.1799        | 4.7619  | 3800  | 0.5645          | 0.808    | 0.8020 |
+| 0.1493        | 5.0125  | 4000  | 0.5565          | 0.807    | 0.8003 |
+| 0.1493        | 5.2632  | 4200  | 0.5861          | 0.813    | 0.8091 |
+| 0.1493        | 5.5138  | 4400  | 0.6189          | 0.807    | 0.8055 |
+| 0.1493        | 5.7644  | 4600  | 0.5003          | 0.819    | 0.8151 |
+| 0.1278        | 6.0150  | 4800  | 0.5903          | 0.81     | 0.8080 |
+| 0.1278        | 6.2657  | 5000  | 0.6112          | 0.81     | 0.8090 |
+| 0.1278        | 6.5163  | 5200  | 0.5987          | 0.818    | 0.8150 |
+| 0.1278        | 6.7669  | 5400  | 0.6466          | 0.802    | 0.8006 |
+| 0.1091        | 7.0175  | 5600  | 0.6515          | 0.818    | 0.8172 |
+| 0.1091        | 7.2682  | 5800  | 0.6541          | 0.819    | 0.8174 |
+| 0.1091        | 7.5188  | 6000  | 0.6148          | 0.828    | 0.8246 |
+| 0.1091        | 7.7694  | 6200  | 0.6246          | 0.827    | 0.8262 |
+| 0.0917        | 8.0201  | 6400  | 0.6751          | 0.812    | 0.812  |
+| 0.0917        | 8.2707  | 6600  | 0.6371          | 0.829    | 0.8281 |
+| 0.0917        | 8.5213  | 6800  | 0.6979          | 0.823    | 0.8212 |
+| 0.0917        | 8.7719  | 7000  | 0.6792          | 0.827    | 0.8241 |
+| 0.0764        | 9.0226  | 7200  | 0.6833          | 0.835    | 0.8324 |
+| 0.0764        | 9.2732  | 7400  | 0.6810          | 0.84     | 0.8383 |
+| 0.0764        | 9.5238  | 7600  | 0.6799          | 0.826    | 0.8233 |
+| 0.0764        | 9.7744  | 7800  | 0.6988          | 0.823    | 0.8211 |
+| 0.0676        | 10.0251 | 8000  | 0.7213          | 0.832    | 0.8299 |
+| 0.0676        | 10.2757 | 8200  | 0.7325          | 0.83     | 0.8288 |
+| 0.0676        | 10.5263 | 8400  | 0.7338          | 0.831    | 0.8293 |
+| 0.0676        | 10.7769 | 8600  | 0.7210          | 0.827    | 0.8262 |
+| 0.0585        | 11.0276 | 8800  | 0.7874          | 0.829    | 0.8282 |
+| 0.0585        | 11.2782 | 9000  | 0.7764          | 0.836    | 0.8347 |
+| 0.0585        | 11.5288 | 9200  | 0.8112          | 0.835    | 0.8342 |
+| 0.0585        | 11.7794 | 9400  | 0.7485          | 0.832    | 0.8307 |
+| 0.0536        | 12.0301 | 9600  | 0.7640          | 0.835    | 0.8339 |
+| 0.0536        | 12.2807 | 9800  | 0.7865          | 0.837    | 0.8344 |
+| 0.0536        | 12.5313 | 10000 | 0.7579          | 0.836    | 0.8350 |
+| 0.0536        | 12.7820 | 10200 | 0.7846          | 0.837    | 0.8357 |
+| 0.0449        | 13.0326 | 10400 | 0.7385          | 0.84     | 0.8384 |
+| 0.0449        | 13.2832 | 10600 | 0.8481          | 0.838    | 0.8372 |
+| 0.0449        | 13.5338 | 10800 | 0.8422          | 0.838    | 0.8368 |
+| 0.0449        | 13.7845 | 11000 | 0.7742          | 0.846    | 0.8445 |
+| 0.0387        | 14.0351 | 11200 | 0.8304          | 0.842    | 0.8406 |
+| 0.0387        | 14.2857 | 11400 | 0.7922          | 0.84     | 0.8386 |
+| 0.0387        | 14.5363 | 11600 | 0.8284          | 0.843    | 0.8415 |
+| 0.0387        | 14.7870 | 11800 | 0.8289          | 0.846    | 0.8449 |
+| 0.0345        | 15.0376 | 12000 | 0.8012          | 0.849    | 0.8475 |
+| 0.0345        | 15.2882 | 12200 | 0.8320          | 0.85     | 0.8489 |
+| 0.0345        | 15.5388 | 12400 | 0.8118          | 0.853    | 0.8516 |
+| 0.0345        | 15.7895 | 12600 | 0.8084          | 0.849    | 0.8480 |
+| 0.0292        | 16.0401 | 12800 | 0.8427          | 0.841    | 0.8399 |
+| 0.0292        | 16.2907 | 13000 | 0.8499          | 0.848    | 0.8469 |
+| 0.0292        | 16.5414 | 13200 | 0.8477          | 0.848    | 0.8470 |
+| 0.0292        | 16.7920 | 13400 | 0.8211          | 0.846    | 0.8441 |
+| 0.0263        | 17.0426 | 13600 | 0.8418          | 0.848    | 0.8466 |
+| 0.0263        | 17.2932 | 13800 | 0.8637          | 0.842    | 0.8408 |
+| 0.0263        | 17.5439 | 14000 | 0.8693          | 0.845    | 0.8440 |
+| 0.0263        | 17.7945 | 14200 | 0.8415          | 0.85     | 0.8483 |
+| 0.0243        | 18.0451 | 14400 | 0.8735          | 0.848    | 0.8470 |
+| 0.0243        | 18.2957 | 14600 | 0.8827          | 0.847    | 0.8460 |
+| 0.0243        | 18.5464 | 14800 | 0.8729          | 0.85     | 0.8489 |
+| 0.0243        | 18.7970 | 15000 | 0.8964          | 0.848    | 0.8469 |
+| 0.0207        | 19.0476 | 15200 | 0.8939          | 0.846    | 0.8449 |
+| 0.0207        | 19.2982 | 15400 | 0.9019          | 0.847    | 0.8460 |
+| 0.0207        | 19.5489 | 15600 | 0.8948          | 0.848    | 0.8469 |
+| 0.0207        | 19.7995 | 15800 | 0.9059          | 0.848    | 0.8469 |
+
+
+### Framework versions
+
+- Transformers 4.43.1
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "<mask>": 64000
+}

config.json

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+{
+  "_name_or_path": "vinai/phobert-base-v2",
+  "architectures": [
+    "PhoBertLexical"
+  ],
+  "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": 258,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_classes": 2,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.43.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4b7199d198e19931fbbf64d60d1cc53336020dabfd609c5d46f8f3efeef053fe
+size 538468008

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "64000": {
+      "content": "<mask>",
+      "lstrip": false,
+      "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": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "PhobertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5ec51ffbc41c5e7f7410d5815dbd93703ee6180fcbc4c38c8403dae50dff7358
+size 5176