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_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. -->
+
+# PhoBert_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: 0.2985
+- Accuracy: 0.9307
+- F1: 0.9312
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 256
+- 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        | 1.0230  | 200  | 0.1511          | 0.9390   | 0.9395 |
+| No log        | 2.0460  | 400  | 0.1571          | 0.9351   | 0.9356 |
+| No log        | 3.0691  | 600  | 0.1750          | 0.9340   | 0.9347 |
+| 0.15          | 4.0921  | 800  | 0.1731          | 0.9334   | 0.9339 |
+| 0.15          | 5.1151  | 1000 | 0.1912          | 0.9321   | 0.9326 |
+| 0.15          | 6.1381  | 1200 | 0.2302          | 0.9273   | 0.9283 |
+| 0.15          | 7.1611  | 1400 | 0.2180          | 0.9325   | 0.9330 |
+| 0.0918        | 8.1841  | 1600 | 0.2620          | 0.9292   | 0.9300 |
+| 0.0918        | 9.2072  | 1800 | 0.2363          | 0.9326   | 0.9329 |
+| 0.0918        | 10.2302 | 2000 | 0.2687          | 0.9243   | 0.9252 |
+| 0.0918        | 11.2532 | 2200 | 0.2621          | 0.9312   | 0.9317 |
+| 0.0608        | 12.2762 | 2400 | 0.2741          | 0.9306   | 0.9312 |
+| 0.0608        | 13.2992 | 2600 | 0.2614          | 0.9302   | 0.9306 |
+| 0.0608        | 14.3223 | 2800 | 0.2830          | 0.9317   | 0.9321 |
+| 0.0608        | 15.3453 | 3000 | 0.2874          | 0.9285   | 0.9291 |
+| 0.0429        | 16.3683 | 3200 | 0.2844          | 0.9318   | 0.9323 |
+| 0.0429        | 17.3913 | 3400 | 0.2836          | 0.9310   | 0.9313 |
+| 0.0429        | 18.4143 | 3600 | 0.2885          | 0.9309   | 0.9312 |
+| 0.0429        | 19.4373 | 3800 | 0.2985          | 0.9307   | 0.9312 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- 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": [
+    "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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+oid sha256:aa123420a95c12cc3ff0915d6a65a7a70dda70c31fc646b4d175b16a9e2094c4
+size 540023384

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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+size 5048