End of training

README.md

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+---
+library_name: transformers
+license: agpl-3.0
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: PhoBert_Lexical_CITA_phishlang
+  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. -->
+
+# PhoBert_Lexical_CITA_phishlang
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5782
+- Accuracy: 0.8522
+- F1: 0.8479
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.394         | 1.0   | 1138  | 0.3920          | 0.8461   | 0.8317 |
+| 0.3426        | 2.0   | 2276  | 0.3672          | 0.8560   | 0.8488 |
+| 0.3002        | 3.0   | 3414  | 0.3716          | 0.8560   | 0.8501 |
+| 0.263         | 4.0   | 4552  | 0.3634          | 0.8597   | 0.8521 |
+| 0.2317        | 5.0   | 5690  | 0.4525          | 0.8562   | 0.8514 |
+| 0.2021        | 6.0   | 6828  | 0.4590          | 0.8549   | 0.8501 |
+| 0.1748        | 7.0   | 7966  | 0.4967          | 0.8509   | 0.8469 |
+| 0.1599        | 8.0   | 9104  | 0.5520          | 0.8561   | 0.8516 |
+| 0.1384        | 9.0   | 10242 | 0.5618          | 0.8510   | 0.8471 |
+| 0.1291        | 10.0  | 11380 | 0.5782          | 0.8522   | 0.8479 |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.21.0

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": "4.48.0",
+  "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 sha256:42f7c77d181c1e834e5a7eb1a8d0d6671a0d057a332e94a3fffa972f64929534
+size 538462880

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": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "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 sha256:66631d2f11dacdf1585b737b842393da72f290f75c0357bb3f208de220d5d7d1
+size 5304