End of training

README.md

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+---
+base_model: KingLTD/pretrain_Law_model_bartpho_version1
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pretrain_Law_model_bartpho_version2
+  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_version2
+
+This model is a fine-tuned version of [KingLTD/pretrain_Law_model_bartpho_version1](https://huggingface.co/KingLTD/pretrain_Law_model_bartpho_version1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1794
+- Rouge1: 0.4739
+- Rouge2: 0.3818
+- Rougel: 0.4294
+- Rougelsum: 0.4408
+
+## 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  | 0.1490          | 0.4706 | 0.3710 | 0.4217 | 0.4344    |
+| No log        | 2.0   | 490  | 0.1537          | 0.4694 | 0.3706 | 0.4215 | 0.4338    |
+| 0.1737        | 3.0   | 735  | 0.1585          | 0.4705 | 0.3757 | 0.4244 | 0.4366    |
+| 0.1737        | 4.0   | 980  | 0.1606          | 0.4694 | 0.3701 | 0.4221 | 0.4349    |
+| 0.122         | 5.0   | 1225 | 0.1665          | 0.4702 | 0.3746 | 0.4237 | 0.4357    |
+| 0.122         | 6.0   | 1470 | 0.1685          | 0.4726 | 0.3772 | 0.4259 | 0.4363    |
+| 0.089         | 7.0   | 1715 | 0.1744          | 0.4747 | 0.3795 | 0.4291 | 0.4409    |
+| 0.089         | 8.0   | 1960 | 0.1753          | 0.4742 | 0.3823 | 0.4296 | 0.4410    |
+| 0.0698        | 9.0   | 2205 | 0.1791          | 0.4759 | 0.3838 | 0.4303 | 0.4417    |
+| 0.0698        | 10.0  | 2450 | 0.1794          | 0.4739 | 0.3818 | 0.4294 | 0.4408    |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "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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