End of training
Browse files- README.md +72 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: KingLTD/pretrain_Law_model_vit5_version2
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: pretrain_Law_model_vit5_version3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pretrain_Law_model_vit5_version3
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This model is a fine-tuned version of [KingLTD/pretrain_Law_model_vit5_version2](https://huggingface.co/KingLTD/pretrain_Law_model_vit5_version2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1136
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- Rouge1: 0.4973
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- Rouge2: 0.4075
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- Rougel: 0.4532
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- Rougelsum: 0.4674
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| No log | 1.0 | 245 | 0.1060 | 0.4960 | 0.4069 | 0.4502 | 0.4664 |
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| No log | 2.0 | 490 | 0.1070 | 0.4946 | 0.4053 | 0.4484 | 0.4644 |
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| 0.146 | 3.0 | 735 | 0.1079 | 0.4908 | 0.3988 | 0.4456 | 0.4601 |
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| 0.146 | 4.0 | 980 | 0.1107 | 0.4994 | 0.4094 | 0.4508 | 0.4665 |
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| 0.1149 | 5.0 | 1225 | 0.1107 | 0.4944 | 0.4024 | 0.4483 | 0.4635 |
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| 0.1149 | 6.0 | 1470 | 0.1126 | 0.4931 | 0.4028 | 0.4478 | 0.4626 |
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| 0.0956 | 7.0 | 1715 | 0.1124 | 0.4991 | 0.4108 | 0.4556 | 0.4701 |
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| 0.0956 | 8.0 | 1960 | 0.1122 | 0.4944 | 0.4082 | 0.4515 | 0.4655 |
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| 0.0822 | 9.0 | 2205 | 0.1133 | 0.4996 | 0.4111 | 0.4557 | 0.4699 |
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| 0.0822 | 10.0 | 2450 | 0.1136 | 0.4973 | 0.4075 | 0.4532 | 0.4674 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.32.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 903892625
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version https://git-lfs.github.com/spec/v1
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oid sha256:918d45a7badc51371e05f3c72cb902f52cd166da889efe5f31d21bb38aa38009
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size 903892625
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