End of training

README.md

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+---
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: cls-comment-phobert-base-v2-v3.1
+  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. -->
+
+# cls-comment-phobert-base-v2-v3.1
+
+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:
+- eval_loss: 0.7125
+- eval_accuracy: 0.9121
+- eval_f1_score: 0.8764
+- eval_recall: 0.8800
+- eval_precision: 0.8756
+- eval_runtime: 6.6382
+- eval_samples_per_second: 548.19
+- eval_steps_per_second: 8.587
+- epoch: 28.07
+- step: 3200
+
+## 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: 1e-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
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 4000
+- label_smoothing_factor: 0.1
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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tmp-checkpoint-3200/added_tokens.json

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tmp-checkpoint-3200/config.json

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+  "_name_or_path": "vinai/phobert-base-v2",
+  "architectures": [
+    "RobertaForSequenceClassification"
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
+    "0": "B\u00ecnh th\u01b0\u1eddng",
+    "1": "Nh\u1ea1y c\u1ea3m",
+    "2": "N\u00f3i chuy\u1ec7n ri\u00eang",
+    "3": "Game",
+    "4": "Kh\u00f4ng ph\u00f9 h\u1ee3p l\u1ee9a tu\u1ed5i",
+    "5": "V\u00f4 ngh\u0129a",
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+  "intermediate_size": 3072,
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+    "Kh\u00f4ng ph\u00f9 h\u1ee3p l\u1ee9a tu\u1ed5i": 4,
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+    "N\u00f3i chuy\u1ec7n ri\u00eang": 2,
+    "Ph\u1ea3n h\u1ed3i ti\u00eau c\u1ef1c": 6,
+    "V\u00f4 ngh\u0129a": 5
+  },
+  "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",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

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tmp-checkpoint-3200/special_tokens_map.json

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tmp-checkpoint-3200/tokenizer_config.json

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tmp-checkpoint-3200/training_args.bin

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