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_Dataset59KCoDuoi
+  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_Dataset59KCoDuoi
+
+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: 0.2804
+- Accuracy: 0.9582
+- F1: 0.9583
+
+## 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
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- 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        | 0.5115  | 200  | 0.1696          | 0.9382   | 0.9389 |
+| No log        | 1.0230  | 400  | 0.1521          | 0.9538   | 0.9539 |
+| No log        | 1.5345  | 600  | 0.1459          | 0.9524   | 0.9528 |
+| 0.1561        | 2.0460  | 800  | 0.1362          | 0.9557   | 0.9558 |
+| 0.1561        | 2.5575  | 1000 | 0.1355          | 0.9577   | 0.9581 |
+| 0.1561        | 3.0691  | 1200 | 0.1271          | 0.9617   | 0.9618 |
+| 0.1561        | 3.5806  | 1400 | 0.1243          | 0.9620   | 0.9621 |
+| 0.0913        | 4.0921  | 1600 | 0.1298          | 0.9598   | 0.9601 |
+| 0.0913        | 4.6036  | 1800 | 0.1216          | 0.9617   | 0.9619 |
+| 0.0913        | 5.1151  | 2000 | 0.1332          | 0.9607   | 0.9608 |
+| 0.0913        | 5.6266  | 2200 | 0.1444          | 0.9609   | 0.9610 |
+| 0.065         | 6.1381  | 2400 | 0.1573          | 0.9608   | 0.9609 |
+| 0.065         | 6.6496  | 2600 | 0.1477          | 0.9608   | 0.9610 |
+| 0.065         | 7.1611  | 2800 | 0.1572          | 0.9610   | 0.9611 |
+| 0.065         | 7.6726  | 3000 | 0.1521          | 0.9605   | 0.9606 |
+| 0.047         | 8.1841  | 3200 | 0.1523          | 0.9596   | 0.9598 |
+| 0.047         | 8.6957  | 3400 | 0.1935          | 0.9591   | 0.9591 |
+| 0.047         | 9.2072  | 3600 | 0.1751          | 0.9576   | 0.9577 |
+| 0.047         | 9.7187  | 3800 | 0.1979          | 0.9573   | 0.9573 |
+| 0.0335        | 10.2302 | 4000 | 0.1905          | 0.9592   | 0.9592 |
+| 0.0335        | 10.7417 | 4200 | 0.1870          | 0.9582   | 0.9582 |
+| 0.0335        | 11.2532 | 4400 | 0.1940          | 0.9585   | 0.9586 |
+| 0.0335        | 11.7647 | 4600 | 0.1787          | 0.9549   | 0.9551 |
+| 0.0268        | 12.2762 | 4800 | 0.2240          | 0.9602   | 0.9602 |
+| 0.0268        | 12.7877 | 5000 | 0.2161          | 0.9572   | 0.9572 |
+| 0.0268        | 13.2992 | 5200 | 0.2160          | 0.9542   | 0.9544 |
+| 0.0268        | 13.8107 | 5400 | 0.2299          | 0.9553   | 0.9555 |
+| 0.0177        | 14.3223 | 5600 | 0.2551          | 0.9579   | 0.9580 |
+| 0.0177        | 14.8338 | 5800 | 0.2355          | 0.9576   | 0.9578 |
+| 0.0177        | 15.3453 | 6000 | 0.2467          | 0.9587   | 0.9589 |
+| 0.0177        | 15.8568 | 6200 | 0.2507          | 0.9593   | 0.9594 |
+| 0.0142        | 16.3683 | 6400 | 0.2482          | 0.9580   | 0.9581 |
+| 0.0142        | 16.8798 | 6600 | 0.2600          | 0.9599   | 0.9600 |
+| 0.0142        | 17.3913 | 6800 | 0.2682          | 0.9566   | 0.9568 |
+| 0.0142        | 17.9028 | 7000 | 0.2782          | 0.9573   | 0.9574 |
+| 0.0094        | 18.4143 | 7200 | 0.2826          | 0.9572   | 0.9573 |
+| 0.0094        | 18.9258 | 7400 | 0.2783          | 0.9583   | 0.9584 |
+| 0.0094        | 19.4373 | 7600 | 0.2819          | 0.9583   | 0.9584 |
+| 0.0094        | 19.9488 | 7800 | 0.2804          | 0.9582   | 0.9583 |
+
+
+### 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

@@ -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 sha256:19796641aaf364a9428bbdc0bcd4fc51b5de5235c5154c197451200df3fd3e39
+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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+version https://git-lfs.github.com/spec/v1
+oid sha256:23a438b0218534128772c5a388e07902a41e9e190d03dec433fbc45ad78d16b9
+size 5048