End of training

README.md

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+---
+base_model: KingLTD/pretrain_Law_model_bartpho_version2
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pretrain_Law_model_bartpho_version3
+  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. -->
+
+# pretrain_Law_model_bartpho_version3
+
+This model is a fine-tuned version of [KingLTD/pretrain_Law_model_bartpho_version2](https://huggingface.co/KingLTD/pretrain_Law_model_bartpho_version2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1145
+- Rouge1: 0.4814
+- Rouge2: 0.3997
+- Rougel: 0.4430
+- Rougelsum: 0.4527
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 245  | 0.0961          | 0.4759 | 0.3999 | 0.4423 | 0.4503    |
+| No log        | 2.0   | 490  | 0.1000          | 0.4820 | 0.4017 | 0.4425 | 0.4522    |
+| 0.0968        | 3.0   | 735  | 0.1065          | 0.4817 | 0.4014 | 0.4422 | 0.4527    |
+| 0.0968        | 4.0   | 980  | 0.1072          | 0.4807 | 0.4016 | 0.4445 | 0.4542    |
+| 0.0618        | 5.0   | 1225 | 0.1098          | 0.4808 | 0.3997 | 0.4435 | 0.4532    |
+| 0.0618        | 6.0   | 1470 | 0.1110          | 0.4817 | 0.3990 | 0.4428 | 0.4526    |
+| 0.0427        | 7.0   | 1715 | 0.1125          | 0.4796 | 0.3988 | 0.4423 | 0.4529    |
+| 0.0427        | 8.0   | 1960 | 0.1136          | 0.4822 | 0.4032 | 0.4453 | 0.4539    |
+| 0.0314        | 9.0   | 2205 | 0.1141          | 0.4814 | 0.3991 | 0.4430 | 0.4527    |
+| 0.0314        | 10.0  | 2450 | 0.1145          | 0.4814 | 0.3997 | 0.4430 | 0.4527    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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