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_Hosting_Dataset10K
+  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_Hosting_Dataset10K
+
+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: 0.4273
+- Accuracy: 0.8794
+- F1: 0.8974
+
+## 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: 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: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 1.7448        | 1.2422  | 200  | 0.5205          | 0.7188   | 0.7907 |
+| 1.7737        | 2.4845  | 400  | 0.3096          | 0.9020   | 0.9067 |
+| 1.3408        | 3.7267  | 600  | 0.3578          | 0.8771   | 0.8938 |
+| 1.7858        | 4.9689  | 800  | 0.3340          | 0.8927   | 0.9039 |
+| 1.1154        | 6.2112  | 1000 | 0.2603          | 0.9155   | 0.9179 |
+| 1.2382        | 7.4534  | 1200 | 0.4342          | 0.8434   | 0.8738 |
+| 1.1267        | 8.6957  | 1400 | 0.3936          | 0.8697   | 0.8904 |
+| 1.0833        | 9.9379  | 1600 | 0.3876          | 0.8677   | 0.8892 |
+| 1.1027        | 11.1801 | 1800 | 0.4320          | 0.8757   | 0.8948 |
+| 0.8329        | 12.4224 | 2000 | 0.3797          | 0.8832   | 0.8995 |
+| 1.1287        | 13.6646 | 2200 | 0.4414          | 0.8677   | 0.8900 |
+| 1.1326        | 14.9068 | 2400 | 0.4273          | 0.8794   | 0.8974 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.20.3

added_tokens.json

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

config.json

@@ -0,0 +1,37 @@
+{
+  "_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": "4.46.2",
+  "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 sha256:7c7460bbcf4513f12c77400a9de9c2971f046b05778f2f93086ca04bf0ea7bab
+size 538475176

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>",
+  "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 sha256:7598367b41191739a0ebe6b8e038291f555883183de998f463b8e06eb718b4f9
+size 5240