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
+- precision
+- recall
+model-index:
+- name: cita_test
+  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. -->
+
+# cita_test
+
+This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5611
+- Accuracy: 0.9327
+- F1: 0.8897
+- Precision: 0.8911
+- Recall: 0.8883
+
+## 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: 4
+- 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     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6952        | 1.6   | 100  | 0.2931          | 0.9347   | 0.8920 | 0.8972    | 0.8870 |
+| 0.6952        | 3.2   | 200  | 0.3064          | 0.9295   | 0.8864 | 0.8812    | 0.8919 |
+| 0.2897        | 4.8   | 300  | 0.3103          | 0.9052   | 0.8579 | 0.8341    | 0.8917 |
+| 0.2897        | 6.4   | 400  | 0.3116          | 0.909    | 0.8623 | 0.8401    | 0.8925 |
+| 0.1582        | 8.0   | 500  | 0.3491          | 0.9107   | 0.8630 | 0.8440    | 0.8875 |
+| 0.1582        | 9.6   | 600  | 0.3723          | 0.9107   | 0.8643 | 0.8430    | 0.8926 |
+| 0.1582        | 11.2  | 700  | 0.4308          | 0.9323   | 0.8898 | 0.8880    | 0.8916 |
+| 0.091         | 12.8  | 800  | 0.5042          | 0.9315   | 0.8872 | 0.8901    | 0.8845 |
+| 0.091         | 14.4  | 900  | 0.4931          | 0.9273   | 0.8831 | 0.8770    | 0.8895 |
+| 0.0565        | 16.0  | 1000 | 0.4961          | 0.9285   | 0.8852 | 0.8786    | 0.8923 |
+| 0.0565        | 17.6  | 1100 | 0.5458          | 0.931    | 0.8877 | 0.8861    | 0.8893 |
+| 0.0565        | 19.2  | 1200 | 0.5611          | 0.9327   | 0.8897 | 0.8911    | 0.8883 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "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:cf1c2f3d7471ca3d8bded646449c01816746746a2fdae04655b79600415b58dd
+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": 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 sha256:0062d0357d2437a35cd8c6e8035bb588c8aab4795d532c616ca10057afcbc574
+size 5112