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_Dataset55K
+  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_Dataset55K
+
+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: 1.0598
+- Accuracy: 0.7970
+- F1: 0.8468
+
+## 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        | 0.2317  | 200   | 0.5915          | 0.7575   | 0.8196 |
+| No log        | 0.4635  | 400   | 0.6149          | 0.7294   | 0.8009 |
+| No log        | 0.6952  | 600   | 0.5838          | 0.7335   | 0.8038 |
+| No log        | 0.9270  | 800   | 0.4301          | 0.8213   | 0.8606 |
+| 0.3511        | 1.1587  | 1000  | 0.4820          | 0.8211   | 0.8608 |
+| 0.3511        | 1.3905  | 1200  | 0.6798          | 0.7461   | 0.8126 |
+| 0.3511        | 1.6222  | 1400  | 0.6930          | 0.7087   | 0.7868 |
+| 0.3511        | 1.8540  | 1600  | 0.6207          | 0.7709   | 0.8292 |
+| 0.2551        | 2.0857  | 1800  | 0.5473          | 0.8101   | 0.8545 |
+| 0.2551        | 2.3175  | 2000  | 0.5228          | 0.8072   | 0.8526 |
+| 0.2551        | 2.5492  | 2200  | 0.5701          | 0.7828   | 0.8371 |
+| 0.2551        | 2.7810  | 2400  | 0.5560          | 0.7838   | 0.8378 |
+| 0.214         | 3.0127  | 2600  | 0.7375          | 0.7332   | 0.8039 |
+| 0.214         | 3.2445  | 2800  | 0.5101          | 0.8126   | 0.8565 |
+| 0.214         | 3.4762  | 3000  | 0.5639          | 0.8139   | 0.8574 |
+| 0.214         | 3.7080  | 3200  | 0.4802          | 0.8299   | 0.8671 |
+| 0.214         | 3.9397  | 3400  | 0.6431          | 0.7773   | 0.8336 |
+| 0.1835        | 4.1715  | 3600  | 0.8122          | 0.7347   | 0.8051 |
+| 0.1835        | 4.4032  | 3800  | 0.4787          | 0.8506   | 0.8804 |
+| 0.1835        | 4.6350  | 4000  | 0.4719          | 0.8476   | 0.8784 |
+| 0.1835        | 4.8667  | 4200  | 0.4643          | 0.8419   | 0.8751 |
+| 0.157         | 5.0985  | 4400  | 0.6827          | 0.7918   | 0.8432 |
+| 0.157         | 5.3302  | 4600  | 0.5695          | 0.8225   | 0.8629 |
+| 0.157         | 5.5620  | 4800  | 0.7416          | 0.7831   | 0.8376 |
+| 0.157         | 5.7937  | 5000  | 0.7787          | 0.7643   | 0.8253 |
+| 0.1337        | 6.0255  | 5200  | 0.6881          | 0.7963   | 0.8462 |
+| 0.1337        | 6.2572  | 5400  | 0.6894          | 0.7953   | 0.8456 |
+| 0.1337        | 6.4890  | 5600  | 0.6472          | 0.8156   | 0.8587 |
+| 0.1337        | 6.7207  | 5800  | 0.5857          | 0.8222   | 0.8626 |
+| 0.1337        | 6.9525  | 6000  | 0.6816          | 0.8113   | 0.8559 |
+| 0.1154        | 7.1842  | 6200  | 0.9047          | 0.7590   | 0.8216 |
+| 0.1154        | 7.4160  | 6400  | 0.7080          | 0.8088   | 0.8541 |
+| 0.1154        | 7.6477  | 6600  | 0.6871          | 0.8148   | 0.8581 |
+| 0.1154        | 7.8795  | 6800  | 0.7481          | 0.7900   | 0.8422 |
+| 0.1002        | 8.1112  | 7000  | 0.7101          | 0.8236   | 0.8637 |
+| 0.1002        | 8.3430  | 7200  | 0.8398          | 0.7933   | 0.8443 |
+| 0.1002        | 8.5747  | 7400  | 0.7284          | 0.8239   | 0.8640 |
+| 0.1002        | 8.8065  | 7600  | 0.7415          | 0.8117   | 0.8561 |
+| 0.0843        | 9.0382  | 7800  | 0.8033          | 0.8066   | 0.8529 |
+| 0.0843        | 9.2700  | 8000  | 0.8593          | 0.8080   | 0.8536 |
+| 0.0843        | 9.5017  | 8200  | 0.8626          | 0.7953   | 0.8456 |
+| 0.0843        | 9.7335  | 8400  | 0.7607          | 0.8192   | 0.8609 |
+| 0.0843        | 9.9652  | 8600  | 0.9512          | 0.7875   | 0.8406 |
+| 0.072         | 10.1970 | 8800  | 0.9709          | 0.7891   | 0.8418 |
+| 0.072         | 10.4287 | 9000  | 0.9674          | 0.7948   | 0.8453 |
+| 0.072         | 10.6605 | 9200  | 0.9815          | 0.7863   | 0.8399 |
+| 0.072         | 10.8922 | 9400  | 1.0347          | 0.7839   | 0.8382 |
+| 0.0617        | 11.1240 | 9600  | 1.1195          | 0.7774   | 0.8340 |
+| 0.0617        | 11.3557 | 9800  | 1.0192          | 0.7916   | 0.8434 |
+| 0.0617        | 11.5875 | 10000 | 0.9594          | 0.8022   | 0.8502 |
+| 0.0617        | 11.8192 | 10200 | 1.0892          | 0.7750   | 0.8325 |
+| 0.0541        | 12.0510 | 10400 | 1.0634          | 0.7886   | 0.8414 |
+| 0.0541        | 12.2827 | 10600 | 1.0198          | 0.8036   | 0.8512 |
+| 0.0541        | 12.5145 | 10800 | 1.0040          | 0.8016   | 0.8499 |
+| 0.0541        | 12.7462 | 11000 | 1.0208          | 0.7962   | 0.8464 |
+| 0.0541        | 12.9780 | 11200 | 1.0329          | 0.7927   | 0.8441 |
+| 0.048         | 13.2097 | 11400 | 0.9916          | 0.8033   | 0.8510 |
+| 0.048         | 13.4415 | 11600 | 1.0793          | 0.7902   | 0.8424 |
+| 0.048         | 13.6732 | 11800 | 1.0424          | 0.7964   | 0.8465 |
+| 0.048         | 13.9050 | 12000 | 1.0162          | 0.8018   | 0.8500 |
+| 0.0426        | 14.1367 | 12200 | 1.0633          | 0.7936   | 0.8447 |
+| 0.0426        | 14.3685 | 12400 | 1.0128          | 0.8022   | 0.8502 |
+| 0.0426        | 14.6002 | 12600 | 1.0780          | 0.7924   | 0.8439 |
+| 0.0426        | 14.8320 | 12800 | 1.0598          | 0.7970   | 0.8468 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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": "4.44.0",
+  "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:dc74cbac183b3805beca06eca299ddc0776157328ade52f7746ee8cdd4f3b160
+size 538468008

special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "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:cfc3c4ee547eba61358cd29f4cc074382b44f22c4ea0c8321956333a52265533
+size 5176