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-base-v2-DACN1
+  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-base-v2-DACN1
+
+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: 0.5520
+- Accuracy: 0.8784
+- F1: 0.8781
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.2782 | 200  | 0.4102          | 0.8061   | 0.8037 |
+| No log        | 0.5563 | 400  | 0.3549          | 0.8456   | 0.8461 |
+| No log        | 0.8345 | 600  | 0.3583          | 0.8466   | 0.8454 |
+| 0.4175        | 1.1127 | 800  | 0.3401          | 0.8537   | 0.8523 |
+| 0.4175        | 1.3908 | 1000 | 0.3179          | 0.8639   | 0.8646 |
+| 0.4175        | 1.6690 | 1200 | 0.3148          | 0.8687   | 0.8691 |
+| 0.4175        | 1.9471 | 1400 | 0.3240          | 0.8574   | 0.8582 |
+| 0.3061        | 2.2253 | 1600 | 0.3148          | 0.8734   | 0.8740 |
+| 0.3061        | 2.5035 | 1800 | 0.3224          | 0.8742   | 0.8743 |
+| 0.3061        | 2.7816 | 2000 | 0.3288          | 0.8678   | 0.8671 |
+| 0.2524        | 3.0598 | 2200 | 0.3512          | 0.8767   | 0.8769 |
+| 0.2524        | 3.3380 | 2400 | 0.3421          | 0.8798   | 0.8796 |
+| 0.2524        | 3.6161 | 2600 | 0.3089          | 0.8795   | 0.8799 |
+| 0.2524        | 3.8943 | 2800 | 0.3569          | 0.8718   | 0.8725 |
+| 0.2123        | 4.1725 | 3000 | 0.3840          | 0.8747   | 0.8744 |
+| 0.2123        | 4.4506 | 3200 | 0.3681          | 0.8729   | 0.8736 |
+| 0.2123        | 4.7288 | 3400 | 0.3575          | 0.8725   | 0.8732 |
+| 0.1771        | 5.0070 | 3600 | 0.3575          | 0.8793   | 0.8794 |
+| 0.1771        | 5.2851 | 3800 | 0.4285          | 0.8758   | 0.8752 |
+| 0.1771        | 5.5633 | 4000 | 0.3843          | 0.8778   | 0.8782 |
+| 0.1771        | 5.8414 | 4200 | 0.3951          | 0.8780   | 0.8779 |
+| 0.1479        | 6.1196 | 4400 | 0.4364          | 0.8734   | 0.8726 |
+| 0.1479        | 6.3978 | 4600 | 0.4273          | 0.8753   | 0.8752 |
+| 0.1479        | 6.6759 | 4800 | 0.4596          | 0.8786   | 0.8783 |
+| 0.1479        | 6.9541 | 5000 | 0.4498          | 0.8784   | 0.8785 |
+| 0.1284        | 7.2323 | 5200 | 0.4592          | 0.8793   | 0.8795 |
+| 0.1284        | 7.5104 | 5400 | 0.4796          | 0.8755   | 0.8747 |
+| 0.1284        | 7.7886 | 5600 | 0.4830          | 0.8729   | 0.8722 |
+| 0.1068        | 8.0668 | 5800 | 0.4879          | 0.8789   | 0.8787 |
+| 0.1068        | 8.3449 | 6000 | 0.5213          | 0.8767   | 0.8761 |
+| 0.1068        | 8.6231 | 6200 | 0.5114          | 0.8769   | 0.8764 |
+| 0.1068        | 8.9013 | 6400 | 0.5090          | 0.8778   | 0.8777 |
+| 0.0946        | 9.1794 | 6600 | 0.5192          | 0.8800   | 0.8800 |
+| 0.0946        | 9.4576 | 6800 | 0.5517          | 0.8753   | 0.8748 |
+| 0.0946        | 9.7357 | 7000 | 0.5520          | 0.8784   | 0.8781 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "vinai/phobert-base-v2",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 258,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "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:dd59b53ee1f0691be061043660454ce705bb79505827ee4c7c384227a53306fa
+size 540023384

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5048