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-base-v2-70k-khduoi
+  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-base-v2-70k-khduoi
+
+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: 0.6366
+- Accuracy: 0.9152
+- F1: 0.9155
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- 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        | 0.2909  | 500   | 0.2524          | 0.8975   | 0.8969 |
+| No log        | 0.5817  | 1000  | 0.2447          | 0.9009   | 0.8999 |
+| No log        | 0.8726  | 1500  | 0.2319          | 0.9018   | 0.9015 |
+| 0.263         | 1.1635  | 2000  | 0.2539          | 0.9060   | 0.9063 |
+| 0.263         | 1.4543  | 2500  | 0.2433          | 0.9017   | 0.9029 |
+| 0.263         | 1.7452  | 3000  | 0.2358          | 0.9100   | 0.9099 |
+| 0.2084        | 2.0361  | 3500  | 0.2755          | 0.9044   | 0.9059 |
+| 0.2084        | 2.3269  | 4000  | 0.2547          | 0.9102   | 0.9100 |
+| 0.2084        | 2.6178  | 4500  | 0.2223          | 0.9109   | 0.9125 |
+| 0.2084        | 2.9087  | 5000  | 0.2189          | 0.9150   | 0.9150 |
+| 0.1729        | 3.1995  | 5500  | 0.2825          | 0.9101   | 0.9112 |
+| 0.1729        | 3.4904  | 6000  | 0.2663          | 0.9110   | 0.9121 |
+| 0.1729        | 3.7813  | 6500  | 0.2367          | 0.9157   | 0.9165 |
+| 0.1448        | 4.0721  | 7000  | 0.2891          | 0.9118   | 0.9121 |
+| 0.1448        | 4.3630  | 7500  | 0.3180          | 0.9042   | 0.9060 |
+| 0.1448        | 4.6539  | 8000  | 0.2441          | 0.9117   | 0.9126 |
+| 0.1448        | 4.9447  | 8500  | 0.2638          | 0.9142   | 0.9145 |
+| 0.1234        | 5.2356  | 9000  | 0.3499          | 0.9130   | 0.9141 |
+| 0.1234        | 5.5265  | 9500  | 0.3086          | 0.9123   | 0.9135 |
+| 0.1234        | 5.8173  | 10000 | 0.3203          | 0.9141   | 0.9140 |
+| 0.1033        | 6.1082  | 10500 | 0.3234          | 0.9170   | 0.9173 |
+| 0.1033        | 6.3991  | 11000 | 0.3367          | 0.9095   | 0.9105 |
+| 0.1033        | 6.6899  | 11500 | 0.3402          | 0.9157   | 0.9159 |
+| 0.1033        | 6.9808  | 12000 | 0.3843          | 0.9107   | 0.9111 |
+| 0.0904        | 7.2717  | 12500 | 0.3559          | 0.9182   | 0.9182 |
+| 0.0904        | 7.5625  | 13000 | 0.3646          | 0.9079   | 0.9096 |
+| 0.0904        | 7.8534  | 13500 | 0.3392          | 0.9130   | 0.9137 |
+| 0.0785        | 8.1443  | 14000 | 0.4064          | 0.9155   | 0.9164 |
+| 0.0785        | 8.4351  | 14500 | 0.4013          | 0.9126   | 0.9135 |
+| 0.0785        | 8.7260  | 15000 | 0.4351          | 0.9124   | 0.9135 |
+| 0.0701        | 9.0169  | 15500 | 0.4190          | 0.9158   | 0.9161 |
+| 0.0701        | 9.3077  | 16000 | 0.4567          | 0.9116   | 0.9126 |
+| 0.0701        | 9.5986  | 16500 | 0.4230          | 0.9147   | 0.9147 |
+| 0.0701        | 9.8895  | 17000 | 0.3956          | 0.9148   | 0.9150 |
+| 0.0599        | 10.1803 | 17500 | 0.4854          | 0.9133   | 0.9135 |
+| 0.0599        | 10.4712 | 18000 | 0.4958          | 0.9156   | 0.9158 |
+| 0.0599        | 10.7621 | 18500 | 0.4552          | 0.9148   | 0.9146 |
+| 0.0536        | 11.0529 | 19000 | 0.4678          | 0.9160   | 0.9163 |
+| 0.0536        | 11.3438 | 19500 | 0.4802          | 0.9142   | 0.9135 |
+| 0.0536        | 11.6347 | 20000 | 0.5360          | 0.9130   | 0.9133 |
+| 0.0536        | 11.9255 | 20500 | 0.5305          | 0.9133   | 0.9137 |
+| 0.0464        | 12.2164 | 21000 | 0.5413          | 0.9115   | 0.9122 |
+| 0.0464        | 12.5073 | 21500 | 0.4867          | 0.9150   | 0.9155 |
+| 0.0464        | 12.7981 | 22000 | 0.5100          | 0.9147   | 0.9153 |
+| 0.0446        | 13.0890 | 22500 | 0.5750          | 0.9161   | 0.9157 |
+| 0.0446        | 13.3799 | 23000 | 0.5742          | 0.9174   | 0.9172 |
+| 0.0446        | 13.6707 | 23500 | 0.5790          | 0.9142   | 0.9146 |
+| 0.0446        | 13.9616 | 24000 | 0.5476          | 0.9151   | 0.9150 |
+| 0.0374        | 14.2525 | 24500 | 0.5621          | 0.9160   | 0.9163 |
+| 0.0374        | 14.5433 | 25000 | 0.5633          | 0.9140   | 0.9146 |
+| 0.0374        | 14.8342 | 25500 | 0.5496          | 0.9148   | 0.9152 |
+| 0.0341        | 15.1251 | 26000 | 0.5869          | 0.9138   | 0.9142 |
+| 0.0341        | 15.4159 | 26500 | 0.5901          | 0.9142   | 0.9141 |
+| 0.0341        | 15.7068 | 27000 | 0.5548          | 0.9154   | 0.9158 |
+| 0.0303        | 15.9977 | 27500 | 0.5832          | 0.9141   | 0.9136 |
+| 0.0303        | 16.2885 | 28000 | 0.6070          | 0.9148   | 0.9157 |
+| 0.0303        | 16.5794 | 28500 | 0.6208          | 0.9159   | 0.9162 |
+| 0.0303        | 16.8703 | 29000 | 0.6134          | 0.9137   | 0.9143 |
+| 0.0273        | 17.1611 | 29500 | 0.6021          | 0.9166   | 0.9168 |
+| 0.0273        | 17.4520 | 30000 | 0.6063          | 0.9150   | 0.9153 |
+| 0.0273        | 17.7429 | 30500 | 0.5942          | 0.9135   | 0.9142 |
+| 0.0254        | 18.0337 | 31000 | 0.6073          | 0.9150   | 0.9155 |
+| 0.0254        | 18.3246 | 31500 | 0.6304          | 0.9165   | 0.9167 |
+| 0.0254        | 18.6155 | 32000 | 0.6121          | 0.9155   | 0.9157 |
+| 0.0254        | 18.9063 | 32500 | 0.6087          | 0.9153   | 0.9156 |
+| 0.0221        | 19.1972 | 33000 | 0.6234          | 0.9147   | 0.9151 |
+| 0.0221        | 19.4881 | 33500 | 0.6312          | 0.9145   | 0.9149 |
+| 0.0221        | 19.7789 | 34000 | 0.6366          | 0.9152   | 0.9155 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<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:b3a8e89bf4edd05f7418a98b045c2fd48b47a6a4af06e5cb55526bcd393444a6
+size 540023384

special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

@@ -0,0 +1,54 @@
+{
+  "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:d274cf64807cf71d42977750484b025b717d11fcb9e9d21b9453dd6ae797aedb
+size 5048