End of training

README.md

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+---
+base_model: vinai/bartpho-syllable-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
+  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. -->
+
+# bartpho-syllable-base-ceg-pair-lexnorm-wiki20k
+
+This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartpho-syllable-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0441
+- Rouge1: 83.8906
+- Rouge2: 76.8215
+- Rougel: 83.4733
+- Rougelsum: 83.4783
+- Gen Len: 14.9751
+
+## 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: 5e-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1329        | 1.0   | 625  | 0.0572          | 80.5125 | 71.817  | 80.0125 | 79.9934   | 14.9828 |
+| 0.0424        | 2.0   | 1250 | 0.0447          | 81.8041 | 73.7589 | 81.3035 | 81.2949   | 14.8986 |
+| 0.0253        | 3.0   | 1875 | 0.0449          | 82.4467 | 74.7259 | 81.9169 | 81.906    | 15.0067 |
+| 0.0167        | 4.0   | 2500 | 0.0427          | 83.3339 | 76.0786 | 82.8455 | 82.8229   | 15.0010 |
+| 0.0116        | 5.0   | 3125 | 0.0444          | 83.4771 | 76.234  | 83.0177 | 83.008    | 15.0144 |
+| 0.0082        | 6.0   | 3750 | 0.0438          | 83.6459 | 76.467  | 83.2461 | 83.2372   | 14.9933 |
+| 0.0061        | 7.0   | 4375 | 0.0440          | 83.699  | 76.5119 | 83.3283 | 83.3175   | 14.9684 |
+| 0.0047        | 8.0   | 5000 | 0.0447          | 83.7618 | 76.6774 | 83.346  | 83.3564   | 14.9349 |
+| 0.0038        | 9.0   | 5625 | 0.0436          | 83.9239 | 76.845  | 83.4885 | 83.5062   | 14.9732 |
+| 0.0032        | 10.0  | 6250 | 0.0441          | 83.8906 | 76.8215 | 83.4733 | 83.4783   | 14.9751 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
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+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.36.2"
+}

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sentencepiece.bpe.model

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special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "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,
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
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+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "BartphoTokenizer",
+  "unk_token": "<unk>"
+}