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_Meta_Dataset59KBoDuoi
+  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/ronton/huggingface/runs/w3fwkqoh)
+[<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/ronton/uncategorized/runs/kqky5evn)
+[<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/ronton/uncategorized/runs/kqky5evn)
+# PhoBert_Lexical_Meta_Dataset59KBoDuoi
+
+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: 0.5530
+- Accuracy: 0.9002
+- F1: 0.9006
+
+## 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        | 0.2558  | 200   | 0.3462          | 0.8484   | 0.8450 |
+| No log        | 0.5115  | 400   | 0.3203          | 0.8626   | 0.8645 |
+| No log        | 0.7673  | 600   | 0.2886          | 0.8742   | 0.8747 |
+| 0.3511        | 1.0230  | 800   | 0.2991          | 0.8824   | 0.8817 |
+| 0.3511        | 1.2788  | 1000  | 0.2882          | 0.8800   | 0.8805 |
+| 0.3511        | 1.5345  | 1200  | 0.2897          | 0.8817   | 0.8827 |
+| 0.3511        | 1.7903  | 1400  | 0.2674          | 0.8856   | 0.8859 |
+| 0.2582        | 2.0460  | 1600  | 0.2761          | 0.8855   | 0.8865 |
+| 0.2582        | 2.3018  | 1800  | 0.2788          | 0.8860   | 0.8869 |
+| 0.2582        | 2.5575  | 2000  | 0.2718          | 0.8848   | 0.8859 |
+| 0.2582        | 2.8133  | 2200  | 0.2749          | 0.8910   | 0.8919 |
+| 0.2136        | 3.0691  | 2400  | 0.2984          | 0.8900   | 0.8909 |
+| 0.2136        | 3.3248  | 2600  | 0.2847          | 0.8902   | 0.8896 |
+| 0.2136        | 3.5806  | 2800  | 0.2810          | 0.8900   | 0.8912 |
+| 0.2136        | 3.8363  | 3000  | 0.3029          | 0.8869   | 0.8887 |
+| 0.1805        | 4.0921  | 3200  | 0.2973          | 0.8935   | 0.8945 |
+| 0.1805        | 4.3478  | 3400  | 0.3033          | 0.8938   | 0.8941 |
+| 0.1805        | 4.6036  | 3600  | 0.2808          | 0.8927   | 0.8938 |
+| 0.1805        | 4.8593  | 3800  | 0.3069          | 0.8923   | 0.8936 |
+| 0.1529        | 5.1151  | 4000  | 0.3200          | 0.8877   | 0.8891 |
+| 0.1529        | 5.3708  | 4200  | 0.3184          | 0.8958   | 0.8966 |
+| 0.1529        | 5.6266  | 4400  | 0.3000          | 0.8917   | 0.8927 |
+| 0.1529        | 5.8824  | 4600  | 0.3315          | 0.8956   | 0.8958 |
+| 0.1295        | 6.1381  | 4800  | 0.3320          | 0.8965   | 0.8974 |
+| 0.1295        | 6.3939  | 5000  | 0.3344          | 0.8975   | 0.8980 |
+| 0.1295        | 6.6496  | 5200  | 0.3315          | 0.8952   | 0.8948 |
+| 0.1295        | 6.9054  | 5400  | 0.3424          | 0.8950   | 0.8951 |
+| 0.1123        | 7.1611  | 5600  | 0.3715          | 0.8918   | 0.8929 |
+| 0.1123        | 7.4169  | 5800  | 0.3718          | 0.8959   | 0.8963 |
+| 0.1123        | 7.6726  | 6000  | 0.3384          | 0.8959   | 0.8965 |
+| 0.1123        | 7.9284  | 6200  | 0.3635          | 0.8907   | 0.8920 |
+| 0.0958        | 8.1841  | 6400  | 0.3753          | 0.8969   | 0.8979 |
+| 0.0958        | 8.4399  | 6600  | 0.4053          | 0.8968   | 0.8969 |
+| 0.0958        | 8.6957  | 6800  | 0.3732          | 0.8968   | 0.8975 |
+| 0.0958        | 8.9514  | 7000  | 0.4011          | 0.8986   | 0.8987 |
+| 0.0816        | 9.2072  | 7200  | 0.4057          | 0.8975   | 0.8980 |
+| 0.0816        | 9.4629  | 7400  | 0.4227          | 0.8945   | 0.8956 |
+| 0.0816        | 9.7187  | 7600  | 0.4299          | 0.8977   | 0.8979 |
+| 0.0816        | 9.9744  | 7800  | 0.4030          | 0.8979   | 0.8984 |
+| 0.0715        | 10.2302 | 8000  | 0.4388          | 0.8973   | 0.8978 |
+| 0.0715        | 10.4859 | 8200  | 0.4462          | 0.8969   | 0.8968 |
+| 0.0715        | 10.7417 | 8400  | 0.4158          | 0.8974   | 0.8975 |
+| 0.0635        | 10.9974 | 8600  | 0.4339          | 0.8977   | 0.8983 |
+| 0.0635        | 11.2532 | 8800  | 0.4798          | 0.8994   | 0.8998 |
+| 0.0635        | 11.5090 | 9000  | 0.4610          | 0.8957   | 0.8964 |
+| 0.0635        | 11.7647 | 9200  | 0.4808          | 0.8940   | 0.8947 |
+| 0.057         | 12.0205 | 9400  | 0.4701          | 0.8958   | 0.8955 |
+| 0.057         | 12.2762 | 9600  | 0.4913          | 0.8945   | 0.8956 |
+| 0.057         | 12.5320 | 9800  | 0.5026          | 0.8967   | 0.8973 |
+| 0.057         | 12.7877 | 10000 | 0.4739          | 0.8969   | 0.8979 |
+| 0.0507        | 13.0435 | 10200 | 0.4741          | 0.8966   | 0.8966 |
+| 0.0507        | 13.2992 | 10400 | 0.4962          | 0.8995   | 0.8999 |
+| 0.0507        | 13.5550 | 10600 | 0.5051          | 0.8969   | 0.8977 |
+| 0.0507        | 13.8107 | 10800 | 0.4855          | 0.8970   | 0.8977 |
+| 0.045         | 14.0665 | 11000 | 0.4995          | 0.8983   | 0.8990 |
+| 0.045         | 14.3223 | 11200 | 0.5144          | 0.8972   | 0.8976 |
+| 0.045         | 14.5780 | 11400 | 0.5057          | 0.8980   | 0.8984 |
+| 0.045         | 14.8338 | 11600 | 0.5240          | 0.8995   | 0.9001 |
+| 0.0422        | 15.0895 | 11800 | 0.5100          | 0.8991   | 0.8995 |
+| 0.0422        | 15.3453 | 12000 | 0.5252          | 0.9000   | 0.9005 |
+| 0.0422        | 15.6010 | 12200 | 0.5324          | 0.8981   | 0.8988 |
+| 0.0422        | 15.8568 | 12400 | 0.5343          | 0.8997   | 0.9001 |
+| 0.0372        | 16.1125 | 12600 | 0.5277          | 0.8990   | 0.8993 |
+| 0.0372        | 16.3683 | 12800 | 0.5433          | 0.8992   | 0.8997 |
+| 0.0372        | 16.6240 | 13000 | 0.5463          | 0.8986   | 0.8993 |
+| 0.0372        | 16.8798 | 13200 | 0.5427          | 0.8980   | 0.8984 |
+| 0.0338        | 17.1355 | 13400 | 0.5485          | 0.9001   | 0.9005 |
+| 0.0338        | 17.3913 | 13600 | 0.5608          | 0.8966   | 0.8972 |
+| 0.0338        | 17.6471 | 13800 | 0.5517          | 0.9000   | 0.9004 |
+| 0.0338        | 17.9028 | 14000 | 0.5563          | 0.8997   | 0.9002 |
+| 0.0315        | 18.1586 | 14200 | 0.5488          | 0.8995   | 0.8999 |
+| 0.0315        | 18.4143 | 14400 | 0.5480          | 0.8992   | 0.8996 |
+| 0.0315        | 18.6701 | 14600 | 0.5492          | 0.9002   | 0.9006 |
+| 0.0315        | 18.9258 | 14800 | 0.5491          | 0.9014   | 0.9017 |
+| 0.0298        | 19.1816 | 15000 | 0.5498          | 0.9005   | 0.9007 |
+| 0.0298        | 19.4373 | 15200 | 0.5508          | 0.9007   | 0.9011 |
+| 0.0298        | 19.6931 | 15400 | 0.5525          | 0.9002   | 0.9006 |
+| 0.0298        | 19.9488 | 15600 | 0.5530          | 0.9002   | 0.9006 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- 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": "4.42.4",
+  "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:afe1b304b220ff697251fad187b3b2d11bf38430dc53e8d6fdfcb96d81f02402
+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:be306b2cd0f29473adb640cc5017f64611d044c7009693868d3d176d0c76c30f
+size 5112