End of training

README.md

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+---
+library_name: transformers
+license: agpl-3.0
+base_model: vinai/phobert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: metadata-cls_15_10
+  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. -->
+
+# metadata-cls_15_10
+
+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: 0.0128
+- Accuracy: 0.9967
+- F1: 0.9932
+
+## 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     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 0.5273        | 1.0067  | 150  | 0.2313          | 0.9384   | 0.8468 |
+| 0.2312        | 2.0134  | 300  | 0.1456          | 0.9581   | 0.9182 |
+| 0.1542        | 3.0201  | 450  | 0.0944          | 0.9747   | 0.9471 |
+| 0.1199        | 4.0268  | 600  | 0.0747          | 0.9810   | 0.9600 |
+| 0.0943        | 5.0336  | 750  | 0.0640          | 0.9827   | 0.9608 |
+| 0.0837        | 6.0403  | 900  | 0.0458          | 0.9894   | 0.9748 |
+| 0.0645        | 7.0470  | 1050 | 0.0435          | 0.9894   | 0.9767 |
+| 0.0509        | 8.0537  | 1200 | 0.0313          | 0.9925   | 0.9819 |
+| 0.043         | 9.0604  | 1350 | 0.0242          | 0.9944   | 0.9859 |
+| 0.0345        | 10.0671 | 1500 | 0.0196          | 0.9954   | 0.9904 |
+| 0.03          | 11.0738 | 1650 | 0.0179          | 0.9956   | 0.9913 |
+| 0.0231        | 12.0805 | 1800 | 0.0162          | 0.9958   | 0.9914 |
+| 0.0227        | 13.0872 | 1950 | 0.0137          | 0.9966   | 0.9930 |
+| 0.0181        | 14.0940 | 2100 | 0.0128          | 0.9967   | 0.9932 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.20.1

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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "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": "4.45.2",
+  "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 sha256:189617929dfa60990a6ff92b1f81944296cf68c063bf64505e57902a07567679
+size 540032612

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": false,
+  "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 sha256:8ef3434a86578a825cfa0100e171d6ff2d518efbd36b316f2d161db8e18a6099
+size 5176